32nd AAAI 2018: New Orleans, LA, USA

• 
  Sheila A. McIlraith, Kilian Q. Weinberger:
  Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018. AAAI Press 2018

AAAI18 - Applications

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  Xiaohui Bei, Shengyu Zhang:
  Algorithms for Trip-Vehicle Assignment in Ride-Sharing. 3-9
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  Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
  EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. 10-17
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  Jonathan Chung, Moshe Eizenman, Uros Rakita, Roger McIntyre, Peter Giacobbe:
  Learning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar Patients. 18-25
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  Bolin Ding, Harsha Nori, Paul Li, Joshua Allen:
  Comparing Population Means Under Local Differential Privacy: With Significance and Power. 26-33
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  Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang:
  MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment. 34-41
• 
  Ahmed Elgammal, Yan Kang, Milko Den Leeuw:
  Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. 42-50
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  Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller:
  Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. 51-60
• 
  Weixiang Hong, Jingjing Meng, Junsong Yuan:
  Distributed Composite Quantization. 61-68
• 
  Weixiang Hong, Jingjing Meng, Junsong Yuan:
  Tensorized Projection for High-Dimensional Binary Embedding. 69-76
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  Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao:
  Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence. 77-84
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  Daniel Kasenberg, Matthias Scheutz:
  Norm Conflict Resolution in Stochastic Domains. 85-92
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  Zhuo Li, Hongwei Wang, Miao Zhao, Wenjie Li, Minyi Guo:
  Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation. 93-100
• 
  Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng:
  Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. 101-108
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  Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
  Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. 109-116
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  Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow:
  Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. 117-124
• 
  Jian Lou, Yiu-ming Cheung:
  Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. 125-133
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  Maggie Makar, John V. Guttag, Jenna Wiens:
  Learning the Probability of Activation in the Presence of Latent Spreaders. 134-141
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  Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe:
  Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. 142-150
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  Chih-Ya Shen, C. P. Kankeu Fotsing, De-Nian Yang, Yi-Shin Chen, Wang-Chien Lee:
  On Organizing Online Soirees with Live Multi-Streaming. 151-159
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  Shirin Sohrabi, Anton V. Riabov, Michael Katz, Octavian Udrea:
  An AI Planning Solution to Scenario Generation for Enterprise Risk Management. 160-167
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  Youyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi:
  Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments. 168-175
• 
  Shaojie Tang:
  When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization. 176-183
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  Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal:
  Synthesis of Programs from Multimodal Datasets. 184-191
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  Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong:
  CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition. 192-199
• 
  Leye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma:
  Geographic Differential Privacy for Mobile Crowd Coverage Maximization. 200-207
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  Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong:
  Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. 208-215
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  Huawei Wei, Bingbing Ni, Yichao Yan, Huanyu Yu, Xiaokang Yang, Chen Yao:
  Video Summarization via Semantic Attended Networks. 216-223
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  Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu:
  TIMERS: Error-Bounded SVD Restart on Dynamic Networks. 224-231
• 
  Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao:
  Ranking Users in Social Networks With Higher-Order Structures. 232-240

AAAI18 - Artificial Intelligence and the Web

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  Rediet Abebe, Lada A. Adamic, Jon M. Kleinberg:
  Mitigating Overexposure in Viral Marketing. 241-248
• 
  Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu:
  Neural Link Prediction over Aligned Networks. 249-256
• 
  Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li:
  Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. 257-264
• 
  Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
  CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. 265-273
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  Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu:
  Dual Deep Neural Networks Cross-Modal Hashing. 274-281
• 
  Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhang:
  Representation Learning for Scale-Free Networks. 282-289
• 
  Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang:
  VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. 290-297
• 
  Jun Guo, Wenwu Zhu:
  Partial Multi-View Outlier Detection Based on Collective Learning. 298-305
• 
  Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang:
  A Network-Specific Markov Random Field Approach to Community Detection. 306-313
• 
  Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang:
  Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics. 314-321
• 
  Tomasz Kusmierczyk, Kjetil Nørvåg:
  On Validation and Predictability of Digital Badges' Influence on Individual Users. 322-329
• 
  Xiaoming Li, Hui Fang, Jie Zhang:
  FILE: A Novel Framework for Predicting Social Status in Signed Networks. 330-337
• 
  Ye Li, Chaofeng Sha, Xin Huang, Yanchun Zhang:
  Community Detection in Attributed Graphs: An Embedding Approach. 338-345
• 
  Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo:
  Social Recommendation with an Essential Preference Space. 346-353
• 
  Yang Liu, Yi-fang Brook Wu:
  Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks. 354-361
• 
  Xusheng Luo, Kangqi Luo, Xianyang Chen, Kenny Q. Zhu:
  Cross-Lingual Entity Linking for Web Tables. 362-369
• 
  Jianxin Ma, Peng Cui, Wenwu Zhu:
  DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks. 370-377
• 
  Brian McMahan, Delip Rao:
  Listening to the World Improves Speech Command Recognition. 378-385
• 
  Wei Niu, James Caverlee, Haokai Lu:
  Location-Sensitive User Profiling Using Crowdsourced Labels. 386-393
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  Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen:
  Binary Generative Adversarial Networks for Image Retrieval. 394-401
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  Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Heng Tao Shen:
  Deep Region Hashing for Generic Instance Search from Images. 402-409
• 
  Kai Song, Yue Zhang, Min Zhang, Weihua Luo:
  Improved English to Russian Translation by Neural Suffix Prediction. 410-417
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  Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
  Towards Efficient Detection of Overlapping Communities in Massive Networks. 418-425
• 
  Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu:
  Structural Deep Embedding for Hyper-Networks. 426-433
• 
  Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang:
  Confidence-Aware Matrix Factorization for Recommender Systems. 434-442
• 
  Daixin Wang, Peng Cui, Wenwu Zhu:
  Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation. 443-450
• 
  Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan:
  A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. 451-458
• 
  Keqiang Wang, Yuanyuan Jin, Haofen Wang, Hongwei Peng, Xiaoling Wang:
  Personalized Time-Aware Tag Recommendation. 459-466
• 
  Yu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan:
  Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems. 467-474
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  Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang:
  RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding. 475-482
• 
  Shaobin Xu, David A. Smith:
  Contrastive Training for Models of Information Cascades. 483-490
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  Jufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang:
  Retrieving and Classifying Affective Images via Deep Metric Learning. 491-498
• 
  Liang Yang, Yuanfang Guo, Xiaochun Cao:
  Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation. 499-506
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  Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang:
  Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai. 507-514
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  Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
  From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. 515-522
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  Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang, Zhenmin Tang:
  Discovering and Distinguishing Multiple Visual Senses for Polysemous Words. 523-530
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  Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han:
  Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. 531-538
• 
  Jian Zhang, Yuxin Peng, Mingkuan Yuan:
  Unsupervised Generative Adversarial Cross-Modal Hashing. 539-546
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  Weinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu:
  Exploring Implicit Feedback for Open Domain Conversation Generation. 547-554
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  Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
  Joint Training for Neural Machine Translation Models with Monolingual Data. 555-562
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  Shenjian Zhao, Zhihua Zhang:
  Attention-via-Attention Neural Machine Translation. 563-570
• 
  Le-kui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang:
  Dynamic Network Embedding by Modeling Triadic Closure Process. 571-578
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  Suping Zhou, Jia Jia, Qi Wang, Yufei Dong, Yufeng Yin, Kehua Lei:
  Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach. 579-587

AAAI18 - Cognitive Modeling

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  Alireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine:
  Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules. 588-595
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  S. Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim:
  Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots. 596-603
• 
  Weikang Li, Wei Li, Yunfang Wu:
  A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy. 604-611
• 
  Joshua H. Palmer, Maithilee Kunda:
  Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion. 612-619
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  Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi:
  A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. 620-628

AAAI18 - Cognitive Systems

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  Somak Aditya, Yezhou Yang, Chitta Baral:
  Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. 629-637
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  Kezhen Chen, Kenneth D. Forbus:
  Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations. 638-645
• 
  Konstantina Christakopoulou, Adam Tauman Kalai:
  Glass-Box Program Synthesis: A Machine Learning Approach. 646-653
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  Maxwell Crouse, Clifton James McFate, Kenneth D. Forbus:
  Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer Questions. 654-662
• 
  Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan:
  Style Transfer in Text: Exploration and Evaluation. 663-670
• 
  Xiaolong Gong, Hao Xu, Linpeng Huang:
  HAN: Hierarchical Association Network for Computing Semantic Relatedness. 671-678
• 
  Christopher W. Lynn, Daniel D. Lee:
  Maximizing Activity in Ising Networks via the TAP Approximation. 679-686
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  Wenjun Ma, Yuncheng Jiang, Weiru Liu, Xudong Luo, Kevin McAreavey:
  Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known Paradoxes. 687-695
• 
  Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan:
  Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. 696-704
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  Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
  Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. 705-713
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  Snejana Shegheva, Ashok K. Goel:
  The Structural Affinity Method for Solving the Raven's Progressive Matrices Test for Intelligence. 714-721
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  Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan:
  RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. 722-729
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  Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
  Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. 730-739

AAAI18 - Computational Sustainability and AI

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  Nipun Batra, Yiling Jia, Hongning Wang, Kamin Whitehouse:
  Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions. 740-747
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  Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes:
  Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks. 748-756
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  Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh:
  DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. 757-765
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  Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti:
  Cellular Network Traffic Scheduling With Deep Reinforcement Learning. 766-774
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  Supriyo Ghosh, Pradeep Varakantham:
  Dispatch Guided Allocation Optimization for Effective Emergency Response. 775-783
• 
  Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki:
  DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction. 784-791
• 
  Henning Lange, Mario Berges:
  Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation. 792-799
• 
  Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong:
  Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. 800-807
• 
  Eugene Seo, Rebecca A. Hutchinson:
  Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback. 808-815
• 
  Zhourui Song, Zhenyu Liu, Dongsheng Wang:
  Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design. 816-823
• 
  Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes:
  Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. 824-832
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  Wanyuan Wang, Bo An, Yichuan Jiang:
  Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems. 833-840
• 
  Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
  Preventing Infectious Disease in Dynamic Populations Under Uncertainty. 841-848
• 
  Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes:
  Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin. 849-859

AAAI18 - Game Playing and Interactive Entertainment

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  Serge Gaspers, Stefan Rümmele, Abdallah Saffidine, Kevin Tran:
  Minesweeper with Limited Moves. 860-867
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  Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl:
  Event Representations for Automated Story Generation with Deep Neural Nets. 868-875
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  Rubens O. Moraes, Levi H. S. Lelis:
  Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games. 876-883
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  Nicholas Sohre, Moses Adeagbo, Nathaniel Helwig, Sofia Lyford-Pike, Stephen J. Guy:
  PVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of Smiles. 884-893

AAAI18 - Game Theory and Economic Paradigms

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  Ben Abramowitz, Elliot Anshelevich:
  Utilitarians Without Utilities: Maximizing Social Welfare for Graph Problems Using Only Ordinal Preferences. 894-901
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  Haris Aziz, Edith Elkind, Shenwei Huang, Martin Lackner, Luis Sánchez Fernández, Piotr Skowron:
  On the Complexity of Extended and Proportional Justified Representation. 902-909
• 
  Haris Aziz, Pang Luo, Christine Rizkallah:
  Rank Maximal Equal Contribution: A Probabilistic Social Choice Function. 910-916
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  Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Yadati Narahari:
  Groupwise Maximin Fair Allocation of Indivisible Goods. 917-924
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  Umang Bhaskar, Varsha Dani, Abheek Ghosh:
  Truthful and Near-Optimal Mechanisms for Welfare Maximization in Multi-Winner Elections. 925-932
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  Robert Bredereck, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, Piotr Skowron:
  Multiwinner Elections With Diversity Constraints. 933-940
• 
  Gianluca Brero, Sébastien Lahaie:
  A Bayesian Clearing Mechanism for Combinatorial Auctions. 941-948
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  Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling:
  AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. 949-956
• 
  Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang:
  Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce. 957-964
• 
  Andrea Celli, Nicola Gatti:
  Computational Results for Extensive-Form Adversarial Team Games. 965-972
• 
  Yu Cheng, Shaddin Dughmi, David Kempe:
  On the Distortion of Voting With Multiple Representative Candidates. 973-980
• 
  Yuan Deng, Vincent Conitzer:
  Disarmament Games With Resource. 981-988
• 
  Giuseppe De Nittis, Alberto Marchesi, Nicola Gatti:
  Computing the Strategy to Commit to in Polymatrix Games. 989-996
• 
  Swapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman:
  Resource Allocation Polytope Games: Uniqueness of Equilibrium, Price of Stability, and Price of Anarchy. 997-1006
• 
  John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu:
  Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable Resources. 1007-1014
• 
  Janosch Döcker, Britta Dorn, Ulle Endriss, Ronald de Haan, Sebastian Schneckenburger:
  Tool Auctions. 1015-1022
• 
  Piotr Faliszewski, Martin Lackner, Dominik Peters, Nimrod Talmon:
  Effective Heuristics for Committee Scoring Rules. 1023-1030
• 
  Michele Flammini, Manuel Mauro, Matteo Tonelli:
  On Social Envy-Freeness in Multi-Unit Markets. 1031-1038
• 
  Chi Kit Ken Fong, Minming Li, Pinyan Lu, Taiki Todo, Makoto Yokoo:
  Facility Location Games With Fractional Preferences. 1039-1046
• 
  Umberto Grandi, James Stewart, Paolo Turrini:
  The Complexity of Bribery in Network-Based Rating Systems. 1047-1054
• 
  Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia:
  Weighted Voting Via No-Regret Learning. 1055-1062
• 
  Ayumi Igarashi, Rani Izsak, Edith Elkind:
  Cooperative Games With Bounded Dependency Degree. 1063-1070
• 
  Rani Izsak, Nimrod Talmon, Gerhard J. Woeginger:
  Committee Selection with Intraclass and Interclass Synergies. 1071-1078
• 
  Florian Jaeckle, Dominik Peters, Edith Elkind:
  On Recognising Nearly Single-Crossing Preferences. 1079-1086
• 
  Anson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, Ariel D. Procaccia:
  Ranking Wily People Who Rank Each Other. 1087-1094
• 
  Anson Kahng, Simon Mackenzie, Ariel D. Procaccia:
  Liquid Democracy: An Algorithmic Perspective. 1095-1102
• 
  Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe:
  Policy Learning for Continuous Space Security Games Using Neural Networks. 1103-1112
• 
  Yasushi Kawase, Atsushi Iwasaki:
  Approximately Stable Matchings With Budget Constraints. 1113-1120
• 
  Orgad Keller, Avinatan Hassidim, Noam Hazon:
  Approximating Bribery in Scoring Rules. 1121-1129
• 
  Christian Kroer, Gabriele Farina, Tuomas Sandholm:
  Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead. 1130-1137
• 
  Jing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh:
  The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods. 1138-1145
• 
  Yang Liu, Chien-Ju Ho:
  Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning. 1146-1153
• 
  Zhengyang Liu, Ying Sheng:
  On the Approximation of Nash Equilibria in Sparse Win-Lose Games. 1154-1160
• 
  Duncan C. McElfresh, John P. Dickerson:
  Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. 1161-1168
• 
  Dominik Peters:
  Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections. 1169-1176
• 
  Ariel D. Procaccia, Rodrigo A. Velez, Dingli Yu:
  Fair Rent Division on a Budget. 1177-1184
• 
  Ariel D. Procaccia, David Wajc, Hanrui Zhang:
  Approximation-Variance Tradeoffs in Facility Location Games. 1185-1192
• 
  Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann:
  MUDA: A Truthful Multi-Unit Double-Auction Mechanism. 1193-1201
• 
  Guni Sharon, Michael Albert, Tarun Rambha, Stephen D. Boyles, Peter Stone:
  Traffic Optimization for a Mixture of Self-Interested and Compliant Agents. 1202-1209
• 
  Weiran Shen, Pingzhong Tang, Yuan Deng:
  Coalition Manipulation of Gale-Shapley Algorithm. 1210-1217
• 
  Oskar Skibski, Jadwiga Sosnowska:
  Axioms for Distance-Based Centralities. 1218-1225
• 
  Omer Tamuz, Shai Vardi, Juba Ziani:
  Non-Exploitable Protocols for Repeated Cake Cutting. 1226-1233
• 
  Zoi Terzopoulou, Ulle Endriss:
  Modelling Iterative Judgment Aggregation. 1234-1241
• 
  Nicolas Troquard:
  Rich Coalitional Resource Games. 1242-1249
• 
  Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
  It Takes (Only) Two: Adversarial Generator-Encoder Networks. 1250-1257
• 
  Tomasz Was, Oskar Skibski:
  An Axiomatization of the Eigenvector and Katz Centralities. 1258-1265
• 
  Bryce Wiedenbeck, Fengjun Yang, Michael P. Wellman:
  A Regression Approach for Modeling Games With Many Symmetric Players. 1266-1273
• 
  Bryan Wilder:
  Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure. 1274-1281
• 
  Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause:
  Incentive-Compatible Forecasting Competitions. 1282-1289
• 
  Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe:
  Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. 1290-1297
• 
  Jie Zhang:
  Average-Case Approximation Ratio of Scheduling Without Payments. 1298-1305

AAAI18 - Heuristic Search and Optimization

• 
  Bence Cserna, William J. Doyle, Jordan S. Ramsdell, Wheeler Ruml:
  Avoiding Dead Ends in Real-Time Heuristic Search. 1306-1313
• 
  Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi:
  Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment. 1314-1321
• 
  David Hemmi, Guido Tack, Mark Wallace:
  A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation Problems. 1322-1329
• 
  Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
  Locality Preserving Projection Based on F-norm. 1330-1337
• 
  Hua Jiang, Chu-Min Li, Yanli Liu, Felip Manyà:
  A Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique Problem. 1338-1346
• 
  Shunji Lin, Alex Fukunaga:
  Revisiting Immediate Duplicate Detection in External Memory Search. 1347-1354
• 
  Marius Lindauer, Frank Hutter:
  Warmstarting of Model-Based Algorithm Configuration. 1355-1362
• 
  Andrei Lissovoi, Pietro Simone Oliveto:
  On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions. 1363-1370
• 
  Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo:
  Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework. 1371-1378
• 
  Baharan Mirzasoleiman, Stefanie Jegelka, Andreas Krause:
  Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly. 1379-1386
• 
  Atsushi Miyauchi, Tomohiro Sonobe, Noriyoshi Sukegawa:
  Exact Clustering via Integer Programming and Maximum Satisfiability. 1387-1394
• 
  Chao Qian, Yibo Zhang, Ke Tang, Xin Yao:
  On Multiset Selection With Size Constraints. 1395-1402
• 
  Mohammad Raza, Sumit Gulwani:
  Disjunctive Program Synthesis: A Robust Approach to Programming by Example. 1403-1412
• 
  Shinsaku Sakaue, Masakazu Ishihata:
  Accelerated Best-First Search With Upper-Bound Computation for Submodular Function Maximization. 1413-1421
• 
  Shinsaku Sakaue, Masaaki Nishino, Norihito Yasuda:
  Submodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision Diagrams. 1422-1430
• 
  Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto:
  Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo. 1431-1438
• 
  Di Wang, Jinhui Xu:
  Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning. 1439-1446
• 
  Hong Wang, Hong Qian, Yang Yu:
  Noisy Derivative-Free Optimization With Value Suppression. 1447-1454
• 
  Chenjun Xiao, Jincheng Mei, Martin Müller:
  Memory-Augmented Monte Carlo Tree Search. 1455-1462

AAAI18 - Human-AI Collaboration

• 
  Gagan Bansal, Daniel S. Weld:
  A Coverage-Based Utility Model for Identifying Unknown Unknowns. 1463-1470
• 
  Bar Hilleli, Ran El-Yaniv:
  Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering Example. 1471-1478
• 
  Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan:
  An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments. 1479-1486
• 
  Aaron Mininger, John E. Laird:
  Interactively Learning a Blend of Goal-Based and Procedural Tasks. 1487-1494
• 
  Igor Mordatch, Pieter Abbeel:
  Emergence of Grounded Compositional Language in Multi-Agent Populations. 1495-1502
• 
  Samer B. Nashed, Joydeep Biswas:
  Human-in-the-Loop SLAM. 1503-1510
• 
  An T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron C. Wallace:
  An Interpretable Joint Graphical Model for Fact-Checking From Crowds. 1511-1518
• 
  Mayada Oudah, Talal Rahwan, Tawna Crandall, Jacob W. Crandall:
  How AI Wins Friends and Influences People in Repeated Games With Cheap Talk. 1519-1526
• 
  Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
  Anchors: High-Precision Model-Agnostic Explanations. 1527-1535
• 
  Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller:
  Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science. 1536-1544
• 
  Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone:
  Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. 1545-1554

AAAI18 - Human Computation and Crowd Sourcing

• 
  Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara:
  Semi-Supervised Learning From Crowds Using Deep Generative Models. 1555-1562
• 
  Kamran Ghasedi Dizaji, Heng Huang:
  Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model. 1563-1570
• 
  Priel Levy, David Sarne:
  Understanding Over Participation in Simple Contests. 1571-1578
• 
  Rui Li, Jared Curhan, Mohammed (Ehsan) Hoque:
  Understanding Social Interpersonal Interaction via Synchronization Templates of Facial Events. 1579-1586
• 
  Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia:
  A Voting-Based System for Ethical Decision Making. 1587-1594
• 
  Goran Radanovic, Boi Faltings:
  Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge. 1595-1602
• 
  Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings:
  Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. 1603-1610
• 
  Filipe Rodrigues, Francisco C. Pereira:
  Deep Learning from Crowds. 1611-1618
• 
  Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima:
  AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. 1619-1626
• 
  YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang:
  Adversarial Learning for Chinese NER From Crowd Annotations. 1627-1635

AAAI18 - Humans and AI

• 
  Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer:
  Adapting a Kidney Exchange Algorithm to Align With Human Values. 1636-1643
• 
  Odd Erik Gundersen, Sigbjørn Kjensmo:
  State of the Art: Reproducibility in Artificial Intelligence. 1644-1651
• 
  Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu:
  Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks. 1652-1659
• 
  Andrew Slavin Ross, Finale Doshi-Velez:
  Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients. 1660-1669
• 
  Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
  Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. 1670-1678
• 
  Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan:
  Coupled Deep Learning for Heterogeneous Face Recognition. 1679-1686
• 
  Yueh-Hua Wu, Shou-De Lin:
  A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. 1687-1694
• 
  Zhe Wu, Bharat Singh, Larry S. Davis, V. S. Subrahmanian:
  Deception Detection in Videos. 1695-1702
• 
  Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah:
  Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. 1703-1710
• 
  Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos:
  WiFi-Based Human Identification via Convex Tensor Shapelet Learning. 1711-1719

AAAI18 - Knowledge Representation and Reasoning

• 
  Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Francesco Ricca:
  Externally Supported Models for Efficient Computation of Paracoherent Answer Sets. 1720-1727
• 
  Labinot Bajraktari, Magdalena Ortiz, Mantas Simkus:
  Combining Rules and Ontologies into Clopen Knowledge Bases. 1728-1735
• 
  Pietro Baroni, Antonio Rago, Francesca Toni:
  How Many Properties Do We Need for Gradual Argumentation? 1736-1743
• 
  Vitaliy Batusov, Mikhail Soutchanski:
  Situation Calculus Semantics for Actual Causality. 1744-1752
• 
  Dorothea Baumeister, Daniel Neugebauer, Jörg Rothe, Hilmar Schadrack:
  Complexity of Verification in Incomplete Argumentation Frameworks. 1753-1760
• 
  Michael Benedikt, Boris Motik, Efthymia Tsamoura:
  Goal-Driven Query Answering for Existential Rules With Equality. 1761-1770
• 
  Ronen I. Brafman, Giuseppe De Giacomo, Fabio Patrizi:
  LTLf/LDLf Non-Markovian Rewards. 1771-1778
• 
  Gerhard Brewka, Hannes Strass, Johannes Peter Wallner, Stefan Woltran:
  Weighted Abstract Dialectical Frameworks. 1779-1786
• 
  Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao:
  SELF: Structural Equational Likelihood Framework for Causal Discovery. 1787-1794
• 
  Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok:
  SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings. 1795-1802
• 
  Glauber De Bona, John Grant, Anthony Hunter, Sébastien Konieczny:
  Towards a Unified Framework for Syntactic Inconsistency Measures. 1803-1810
• 
  Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel:
  Convolutional 2D Knowledge Graph Embeddings. 1811-1818
• 
  Takuma Ebisu, Ryutaro Ichise:
  TorusE: Knowledge Graph Embedding on a Lie Group. 1819-1826
• 
  Christian Eichhorn, Gabriele Kern-Isberner, Marco Ragni:
  Rational Inference Patterns Based on Conditional Logic. 1827-1834
• 
  Liangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhao-Rong Lai:
  Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative Extension. 1835-1844
• 
  Víctor Gutiérrez-Basulto, Yazmin Angélica Ibáñez-García, Jean Christoph Jung:
  Answering Regular Path Queries over SQ Ontologies. 1845-1852
• 
  Joseph Y. Halpern, Max Kleiman-Weiner:
  Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility. 1853-1860
• 
  Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George:
  Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies. 1861-1870
• 
  Pan Hu, Boris Motik, Ian Horrocks:
  Optimised Maintenance of Datalog Materialisations. 1871-1879
• 
  Yusuf Izmirlioglu, Esra Erdem:
  Qualitative Reasoning About Cardinal Directions Using Answer Set Programming. 1880-1887
• 
  Brendan Juba, Zongyi Li, Evan Miller:
  Learning Abduction Using Partial Observability. 1888-1896
• 
  Batya Kenig, Lovro Ilijasic, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich:
  Probabilistic Inference Over Repeated Insertion Models. 1897-1904
• 
  Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
  Question Answering as Global Reasoning Over Semantic Abstractions. 1905-1914
• 
  Emiliano Lorini:
  In Praise of Belief Bases: Doing Epistemic Logic Without Possible Worlds. 1915-1922
• 
  Jun Mei, Yong Jiang, Kewei Tu:
  Maximum A Posteriori Inference in Sum-Product Networks. 1923-1930
• 
  Razieh Nabi, Ilya Shpitser:
  Fair Inference on Outcomes. 1931-1940
• 
  Alessandro Ronca, Mark Kaminski, Bernardo Cuenca Grau, Boris Motik, Ian Horrocks:
  Stream Reasoning in Temporal Datalog. 1941-1948
• 
  Nicolas Schwind, Pierre Marquis:
  On Consensus in Belief Merging. 1949-1956
• 
  Baoxu Shi, Tim Weninger:
  Open-World Knowledge Graph Completion. 1957-1964
• 
  Jakob Suchan, Mehul Bhatt, Przemyslaw Andrzej Walega, Carl P. L. Schultz:
  Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects. 1965-1972
• 
  Despoina Trivela, Giorgos Stoilos, Vasilis Vassalos:
  A Framework and Positive Results for IAR-answering. 1973-1980
• 
  Nicolas Troquard, Roberto Confalonieri, Pietro Galliani, Rafael Peñaloza, Daniele Porello, Oliver Kutz:
  Repairing Ontologies via Axiom Weakening. 1981-1988
• 
  Markus Ulbricht, Matthias Thimm, Gerhard Brewka:
  Measuring Strong Inconsistency. 1989-1996
• 
  Bin Wang, Zhizheng Zhang, Hongxiang Xu, Jun Shen:
  Splitting an LPMLN Program. 1997-2004
• 
  PeiFeng Wang, Shuangyin Li, Rong Pan:
  Incorporating GAN for Negative Sampling in Knowledge Representation Learning. 2005-2012
• 
  Zhe Wang, Kewen Wang, Xiaowang Zhang:
  Forgetting and Unfolding for Existential Rules. 2013-2020
• 
  Jinyoung Yeo, Geungyu Wang, Hyunsouk Cho, Seungtaek Choi, Seung-won Hwang:
  Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning. 2021-2028
• 
  Hao Zhang, Shuigeng Zhou, Jihong Guan:
  Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery. 2029-2036
• 
  Junzhe Zhang, Elias Bareinboim:
  Fairness in Decision-Making - The Causal Explanation Formula. 2037-2045
• 
  Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao:
  Embedding of Hierarchically Typed Knowledge Bases. 2046-2053
• 
  Xiaowang Zhang, Jan Van den Bussche, Kewen Wang, Zhe Wang:
  On the Satisfiability Problem of Patterns in SPARQL 1.1. 2054-2062

AAAI18 - Machine Learning Applications

• 
  Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam:
  Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads. 2063-2070
• 
  Onur Atan, James Jordon, Mihaela van der Schaar:
  Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks. 2071-2078
• 
  Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher:
  DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction. 2079-2086
• 
  Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das:
  CSWA: Aggregation-Free Spatial-Temporal Community Sensing. 2087-2094
• 
  Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin:
  Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations. 2095-2102
• 
  Long Chen, Yuhang He:
  Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric Learning. 2103-2110
• 
  Chengyao Chen, Zhitao Wang, Wenjie Li, Xu Sun:
  Modeling Scientific Influence for Research Trending Topic Prediction. 2111-2118
• 
  Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Long-Wen Chang:
  Tap and Shoot Segmentation. 2119-2126
• 
  Haochen Chen, Bryan Perozzi, Yifan Hu, Steven Skiena:
  HARP: Hierarchical Representation Learning for Networks. 2127-2134
• 
  Ko-Shin Chen, Tingyang Xu, Jinbo Bi:
  Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. 2135-2142
• 
  Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri:
  Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. 2143-2150
• 
  Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang:
  A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. 2151-2158
• 
  Ching-Hua Chuan, Dorien Herremans:
  Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based Representation. 2159-2166
• 
  Quanyu Dai, Qiang Li, Jian Tang, Dan Wang:
  Adversarial Network Embedding. 2167-2174
• 
  Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang:
  Collaborative Filtering With User-Item Co-Autoregressive Models. 2175-2182
• 
  Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone:
  The Shape of Art History in the Eyes of the Machine. 2183-2191
• 
  Katsuhiro Endo, Katsufumi Tomobe, Kenji Yasuoka:
  Multi-Step Time Series Generator for Molecular Dynamics. 2192-2199
• 
  Alin Fan, Ling Chen, Gencai Chen:
  Search Action Sequence Modeling With Long Short-Term Memory for Search Task Success Evaluation. 2200-2207
• 
  Qingxiang Feng, Yicong Zhou:
  Discriminant Projection Representation-Based Classification for Vision Recognition. 2208-2214
• 
  Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
  The Geometric Block Model. 2215-2222
• 
  Zan Gao, Deyu Wang, Xiangnan He, Hua Zhang:
  Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval. 2223-2231
• 
  Jun Guo, Wenwu Zhu:
  Dependence Guided Unsupervised Feature Selection. 2232-2239
• 
  Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han:
  On Trivial Solution and High Correlation Problems in Deep Supervised Hashing. 2240-2247
• 
  Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause:
  Learning User Preferences to Incentivize Exploration in the Sharing Economy. 2248-2256
• 
  Jie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li:
  Video-Based Sign Language Recognition Without Temporal Segmentation. 2257-2264
• 
  Jin Huang, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu:
  Energy-Efficient Automatic Train Driving by Learning Driving Patterns. 2265-2272
• 
  Wenjun Huang, Chao Liang, Yi Yu, Zheng Wang, Weijian Ruan, Ruimin Hu:
  Video-Based Person Re-Identification via Self Paced Weighting. 2273-2280
• 
  Yu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang:
  Generating Music Medleys via Playing Music Puzzle Games. 2281-2288
• 
  Zepeng Huo, Xiao Huang, Xia Hu:
  Link Prediction With Personalized Social Influence. 2289-2296
• 
  Maya Kabkab, Pouya Samangouei, Rama Chellappa:
  Task-Aware Compressed Sensing With Generative Adversarial Networks. 2297-2304
• 
  Hao-Cheng Kao, Kai-Fu Tang, Edward Y. Chang:
  Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning. 2305-2313
• 
  Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar:
  DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. 2314-2321
• 
  Dawei Li, Xiaolong Wang, Deguang Kong:
  DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices. 2322-2330
• 
  Kai Li, Zhengming Ding, Sheng Li, Yun Fu:
  Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. 2331-2338
• 
  Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
  Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. 2339-2346
• 
  Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann:
  Multi-Modal Multi-Task Learning for Automatic Dietary Assessment. 2347-2354
• 
  Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
  Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs. 2355-2362
• 
  Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi:
  Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs. 2363-2370
• 
  Zhiyu Min, Dahua Lin:
  Probabilistic Ensemble of Collaborative Filters. 2371-2378
• 
  Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli:
  A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns. 2379-2386
• 
  Katsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada:
  Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture. 2387-2394
• 
  Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao:
  Sequence-to-Sequence Learning via Shared Latent Representation. 2395-2402
• 
  Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun:
  Compatibility Family Learning for Item Recommendation and Generation. 2403-2410
• 
  Kyungwoo Song, Wonsung Lee, Il-Chul Moon:
  Neural Ideal Point Estimation Network. 2411-2418
• 
  Liangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li:
  Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis. 2419-2426
• 
  Yang Song, Zhifei Zhang, Hairong Qi:
  r-BTN: Cross-Domain Face Composite and Synthesis From Limited Facial Patches. 2427-2434
• 
  Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu:
  Exercise-Enhanced Sequential Modeling for Student Performance Prediction. 2435-2443
• 
  Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley:
  Compressed Sensing MRI Using a Recursive Dilated Network. 2444-2451
• 
  Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia:
  Mesh-Based Autoencoders for Localized Deformation Component Analysis. 2452-2459
• 
  Wesley Tansey, Jesse Thomason, James G. Scott:
  Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. 2460-2467
• 
  Saeid Tizpaz-Niari, Pavol Cerný, Bor-Yuh Evan Chang, Ashutosh Trivedi:
  Differential Performance Debugging With Discriminant Regression Trees. 2468-2475
• 
  Bin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi:
  Adversarial Zero-shot Learning With Semantic Augmentation. 2476-2483
• 
  Mark Valovage, Akshay Shekhawat, Maria L. Gini:
  Model-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity Disaggregation. 2484-2491
• 
  Chaojie Wang, Bo Chen, Mingyuan Zhou:
  Multimodal Poisson Gamma Belief Network. 2492-2499
• 
  Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng:
  When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks. 2500-2507
• 
  Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo:
  GraphGAN: Graph Representation Learning With Generative Adversarial Nets. 2508-2515
• 
  Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang:
  Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation. 2516-2523
• 
  Xin Ru Nancy Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton:
  AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. 2524-2531
• 
  Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu:
  Attention-Based Transactional Context Embedding for Next-Item Recommendation. 2532-2539
• 
  Tie-Qiang Wang, Cheng-Lin Liu:
  Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters. 2540-2547
• 
  Xiaoqian Wang, Hao Huang:
  Directional Label Rectification in Adaptive Graph. 2548-2555
• 
  Jiahui Wen, Jingwei Ma, Yiliu Feng, Mingyang Zhong:
  Hybrid Attentive Answer Selection in CQA With Deep Users Modelling. 2556-2563
• 
  Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu:
  Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. 2564-2571
• 
  Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong:
  Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach. 2572-2579
• 
  Zhenpei Yang, Lihang Liu, Qixing Huang:
  Learning Generative Neural Networks for 3D Colorization. 2580-2587
• 
  Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li:
  Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. 2588-2595
• 
  Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang:
  WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. 2596-2603
• 
  Chaoyun Zhang, Mingjun Zhong, Zongzuo Wang, Nigel H. Goddard, Charles A. Sutton:
  Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring. 2604-2611
• 
  Sheng Zhang, Yuliang Liu, Lianwen Jin, Canjie Luo:
  Feature Enhancement Network: A Refined Scene Text Detector. 2612-2619
• 
  Yuan Zhang, Tianshu Lyu, Yan Zhang:
  COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades. 2620-2627
• 
  Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan:
  Data Poisoning Attacks on Multi-Task Relationship Learning. 2628-2635
• 
  Rui Zhao, Qiang Ji:
  An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation. 2636-2643
• 
  Nenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai, Zhefeng Gong:
  Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition. 2644-2651
• 
  Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
  SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. 2652-2659
• 
  Xiaofeng Zhu, Hongming Li, Yong Fan:
  Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity. 2660-2668

AAAI18 - Machine Learning Methods

• 
  Mohammed Alshiekh, Roderick Bloem, Rüdiger Ehlers, Bettina Könighofer, Scott Niekum, Ufuk Topcu:
  Safe Reinforcement Learning via Shielding. 2669-2678
• 
  Hassan Ashtiani, Shai Ben-David, Abbas Mehrabian:
  Sample-Efficient Learning of Mixtures. 2679-2686
• 
  Shumeet Baluja, Ian Fischer:
  Learning to Attack: Adversarial Transformation Networks. 2687-2695
• 
  Siddharth Barman, Aditya Gopalan, Aadirupa Saha:
  Online Learning for Structured Loss Spaces. 2696-2703
• 
  Sima Behpour, Wei Xing, Brian D. Ziebart:
  ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification. 2704-2711
• 
  Jessa Bekker, Jesse Davis:
  Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction. 2712-2719
• 
  Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
  Long-Term Image Boundary Prediction. 2720-2729
• 
  Avrim Blum, Nika Haghtalab:
  Algorithms for Generalized Topic Modeling. 2730-2737
• 
  Aleksandar Bojchevski, Stephan Günnemann:
  Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure. 2738-2745
• 
  Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long:
  Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis. 2746-2753
• 
  Daniel S. Brown, Scott Niekum:
  Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning. 2754-2762
• 
  Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer:
  Teaching a Machine to Read Maps With Deep Reinforcement Learning. 2763-2770
• 
  Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng:
  Graph Scan Statistics With Uncertainty. 2771-2778
• 
  Jose Cadena, Anil Vullikanti:
  Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications. 2779-2786
• 
  Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang:
  Efficient Architecture Search by Network Transformation. 2787-2794
• 
  Yue Cao, Mingsheng Long, Jianmin Wang:
  Unsupervised Domain Adaptation With Distribution Matching Machines. 2795-2802
• 
  Zhu Cao, Linlin Wang, Gerard de Melo:
  Link Prediction via Subgraph Embedding-Based Convex Matrix Completion. 2803-2810
• 
  Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham:
  Reversible Architectures for Arbitrarily Deep Residual Neural Networks. 2811-2818
• 
  Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov:
  Gated-Attention Architectures for Task-Oriented Language Grounding. 2819-2826
• 
  Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan:
  AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training. 2827-2835
• 
  Hao Chen, Yali Wang, Guoyou Wang, Yu Qiao:
  LSTD: A Low-Shot Transfer Detector for Object Detection. 2836-2843
• 
  Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash:
  Automatic Segmentation of Data Sequences. 2844-2851
• 
  Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
  DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer. 2852-2859
• 
  Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate:
  Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks. 2860-2867
• 
  Kamil Ciosek, Shimon Whiteson:
  Expected Policy Gradients. 2868-2875
• 
  Andrew Cohen, Lei Yu, Robert Wright:
  Diverse Exploration for Fast and Safe Policy Improvement. 2876-2883
• 
  Edith Cohen, Shiri Chechik, Haim Kaplan:
  Clustering Small Samples With Quality Guarantees: Adaptivity With One2all PPS. 2884-2891
• 
  Will Dabney, Mark Rowland, Marc G. Bellemare, Rémi Munos:
  Distributional Reinforcement Learning With Quantile Regression. 2892-2901
• 
  Kristopher De Asis, J. Fernando Hernandez-Garcia, G. Zacharias Holland, Richard S. Sutton:
  Multi-Step Reinforcement Learning: A Unifying Algorithm. 2902-2909
• 
  Li-Zhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao:
  Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. 2910-2917
• 
  Trong Dinh Thac Do, Longbing Cao:
  Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation. 2918-2925
• 
  Hao-Chen Dong, Yu-Feng Li, Zhi-Hua Zhou:
  Learning From Semi-Supervised Weak-Label Data. 2926-2933
• 
  Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini:
  Decomposition Strategies for Constructive Preference Elicitation. 2934-2942
• 
  Paolo Dragone, Stefano Teso, Andrea Passerini:
  Constructive Preference Elicitation Over Hybrid Combinatorial Spaces. 2943-2950
• 
  Mohsen Ahmadi Fahandar, Eyke Hüllermeier:
  Learning to Rank Based on Analogical Reasoning. 2951-2958
• 
  Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin:
  Learning Lexicographic Preference Trees From Positive Examples. 2959-2966
• 
  Ji Feng, Zhi-Hua Zhou:
  AutoEncoder by Forest. 2967-2973
• 
  Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson:
  Counterfactual Multi-Agent Policy Gradients. 2974-2982
• 
  Mohadeseh Ganji, James Bailey, Peter J. Stuckey:
  Lagrangian Constrained Community Detection. 2983-2990
• 
  Tianxiang Gao, Chris Chu:
  DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization. 2991-2998
• 
  Yuyang Gao, Liang Zhao:
  Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. 2999-3006
• 
  Christopher W. Geib, Pavan Kantharaju:
  Learning Combinatory Categorial Grammars for Plan Recognition. 3007-3014
• 
  Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini:
  Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints. 3015-3020
• 
  Robert Giaquinto, Arindam Banerjee:
  Topic Modeling on Health Journals With Regularized Variational Inference. 3021-3028
• 
  Naman Goel, Mohammad Yaghini, Boi Faltings:
  Non-Discriminatory Machine Learning Through Convex Fairness Criteria. 3029-3036
• 
  Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin:
  Margin Based PU Learning. 3037-3044
• 
  Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
  A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. 3045-3052
• 
  Aubrey Gress, Ian Davidson:
  Human Guided Linear Regression With Feature-Level Constraints. 3053-3060
• 
  Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup:
  Learning Predictive State Representations From Non-Uniform Sampling. 3061-3068
• 
  Aditya Grover, Manik Dhar, Stefano Ermon:
  Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models. 3069-3076
• 
  Aditya Grover, Stefano Ermon:
  Boosted Generative Models. 3077-3084
• 
  Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang:
  Asynchronous Doubly Stochastic Sparse Kernel Learning. 3085-3092
• 
  Bin Gu, De Wang, Zhouyuan Huo, Heng Huang:
  Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. 3093-3100
• 
  Lei Gu, Ningning Zhou, Yang Zhao:
  An Euclidean Distance Based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data Clustering. 3101-3108
• 
  Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton:
  Who Said What: Modeling Individual Labelers Improves Classification. 3109-3118
• 
  Melody Y. Guan, Heinrich Jiang:
  Nonparametric Stochastic Contextual Bandits. 3119-3125
• 
  Lan-Zhe Guo, Yu-Feng Li:
  A General Formulation for Safely Exploiting Weakly Supervised Data. 3126-3133
• 
  Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
  Double Forward Propagation for Memorized Batch Normalization. 3134-3141
• 
  Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun:
  Learning Across Scales - Multiscale Methods for Convolution Neural Networks. 3142-3148
• 
  Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan:
  A Framework for Multistream Regression With Direct Density Ratio Estimation. 3149-3156
• 
  Satoshi Hara, Masakazu Ishihata:
  Approximate and Exact Enumeration of Rule Models. 3157-3164
• 
  Jean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup:
  When Waiting Is Not an Option: Learning Options With a Deliberation Cost. 3165-3172
• 
  Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé:
  Learning With Options That Terminate Off-Policy. 3173-3182
• 
  Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao:
  Reinforced Multi-Label Image Classification by Exploring Curriculum. 3183-3190
• 
  Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon:
  An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems. 3191-3198
• 
  Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup:
  OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. 3199-3206
• 
  Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger:
  Deep Reinforcement Learning That Matters. 3207-3214
• 
  Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver:
  Rainbow: Combining Improvements in Deep Reinforcement Learning. 3215-3222
• 
  Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John Agapiou, Joel Z. Leibo, Audrunas Gruslys:
  Deep Q-learning From Demonstrations. 3223-3230
• 
  Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low:
  Decentralized High-Dimensional Bayesian Optimization With Factor Graphs. 3231-3238
• 
  Cheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin:
  A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning. 3239-3246
• 
  Qinghao Hu, Peisong Wang, Jian Cheng:
  From Hashing to CNNs: Training Binary Weight Networks via Hashing. 3247-3254
• 
  Qinmin Hu, Jie Zhou, Qin Chen, Liang He:
  SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. 3255-3262
• 
  Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos:
  On Convergence of Epanechnikov Mean Shift. 3263-3270
• 
  Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li:
  Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. 3271-3278
• 
  Zhiwu Huang, Jiqing Wu, Luc Van Gool:
  Building Deep Networks on Grassmann Manifolds. 3279-3286
• 
  Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang:
  Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. 3287-3294
• 
  Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn:
  Product Quantized Translation for Fast Nearest Neighbor Search. 3295-3301
• 
  David Isele, Akansel Cosgun:
  Selective Experience Replay for Lifelong Learning. 3302-3309
• 
  Xiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang:
  Label Distribution Learning by Exploiting Label Correlations. 3310-3317
• 
  Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
  Metric-Based Auto-Instructor for Learning Mixed Data Representation. 3318-3325
• 
  Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
  Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination. 3326-3333
• 
  Nan Jiang:
  PAC Reinforcement Learning With an Imperfect Model. 3334-3341
• 
  Qing-Yuan Jiang, Wu-Jun Li:
  Asymmetric Deep Supervised Hashing. 3342-3349
• 
  Aditya Jitta, Arto Klami:
  On Controlling the Size of Clusters in Probabilistic Clustering. 3350-3357
• 
  Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
  Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. 3358-3365
• 
  Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
  Unified Spectral Clustering With Optimal Graph. 3366-3373
• 
  Sebastian Kauschke, Johannes Fürnkranz:
  Batchwise Patching of Classifiers. 3374-3381
• 
  Kenji Kawaguchi, Bo Xie, Le Song:
  Deep Semi-Random Features for Nonlinear Function Approximation. 3382-3389
• 
  Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan:
  Measuring Catastrophic Forgetting in Neural Networks. 3390-3398
• 
  Hiroshi Kera, Yoshihiko Hasegawa:
  Approximate Vanishing Ideal via Data Knotting. 3399-3406
• 
  Udayan Khurana, Horst Samulowitz, Deepak S. Turaga:
  Feature Engineering for Predictive Modeling Using Reinforcement Learning. 3407-3414
• 
  Kee-Eung Kim, Hyun Soo Park:
  Imitation Learning via Kernel Mean Embedding. 3415-3422
• 
  Saehoon Kim, Jungtaek Kim, Seungjin Choi:
  On the Optimal Bit Complexity of Circulant Binary Embedding. 3423-3430
• 
  Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim:
  Joint Dictionaries for Zero-Shot Learning. 3431-3439
• 
  Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi:
  Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF. 3440-3447
• 
  Yeon-Chang Lee, Sang-Wook Kim, Dongwon Lee:
  gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items. 3448-3456
• 
  Lucas Lehnert, Romain Laroche, Harm van Seijen:
  On Value Function Representation of Long Horizon Problems. 3457-3465
• 
  Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin:
  Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM. 3466-3473
• 
  Daniel Levy, Stefano Ermon:
  Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces. 3474-3481
• 
  Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang:
  Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition. 3482-3489
• 
  Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
  Learning to Generalize: Meta-Learning for Domain Generalization. 3490-3497
• 
  Jinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, David Zhang:
  A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification. 3498-3505
• 
  Jun Li, Hongfu Liu, Yun Fu:
  Predictive Coding Machine for Compressed Sensing and Image Denoising. 3506-3513
• 
  Jundong Li, Liang Wu, Harsh Dani, Huan Liu:
  Unsupervised Personalized Feature Selection. 3514-3521
• 
  Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu:
  Latent Discriminant Subspace Representations for Multi-View Outlier Detection. 3522-3529
• 
  Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin:
  Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions. 3530-3537
• 
  Qimai Li, Zhichao Han, Xiao-Ming Wu:
  Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning. 3538-3545
• 
  Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang:
  Adaptive Graph Convolutional Neural Networks. 3546-3553
• 
  Shuai Li, Shengyu Zhang:
  Online Clustering of Contextual Cascading Bandits. 3554-3561
• 
  Siyuan Li, Chongjie Zhang:
  An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. 3562-3570
• 
  Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis:
  Statistical Inference Using SGD. 3571-3578
• 
  Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao:
  Domain Generalization via Conditional Invariant Representations. 3579-3587
• 
  Yingming Li, Zenglin Xu, Zhongfei Zhang:
  Learning With Incomplete Labels. 3588-3595
• 
  Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang:
  Balanced Clustering via Exclusive Lasso: A Pragmatic Approach. 3596-3603
• 
  Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao:
  Robust Formulation for PCA: Avoiding Mean Calculation With L_{2, p}-norm Maximization. 3604-3610
• 
  Woosang Lim, Rundong Du, Haesun Park:
  CoDiNMF: Co-Clustering of Directed Graphs via NMF. 3611-3618
• 
  Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang:
  Transferable Contextual Bandit for Cross-Domain Recommendation. 3619-3626
• 
  Chang Liu, Jun Zhu:
  Riemannian Stein Variational Gradient Descent for Bayesian Inference. 3627-3634
• 
  Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou:
  Dual Set Multi-Label Learning. 3635-3642
• 
  Fang Liu, Swapna Buccapatnam, Ness B. Shroff:
  Information Directed Sampling for Stochastic Bandits With Graph Feedback. 3643-3650
• 
  Fang Liu, Joohyun Lee, Ness B. Shroff:
  A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem. 3651-3658
• 
  Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
  Nonlinear Pairwise Layer and Its Training for Kernel Learning. 3659-3666
• 
  Kuan Liu, Prem Natarajan:
  A Batch Learning Framework for Scalable Personalized Ranking. 3667-3674
• 
  Lanlan Liu, Jia Deng:
  Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution. 3675-3682
• 
  Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin:
  Doubly Approximate Nearest Neighbor Classification. 3683-3690
• 
  Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang:
  Euler Sparse Representation for Image Classification. 3691-3697
• 
  Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin:
  Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. 3698-3705
• 
  Palma London, Shai Vardi, Adam Wierman, Hanling Yi:
  A Parallelizable Acceleration Framework for Packing Linear Programs. 3706-3713
• 
  Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
  Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis. 3714-3721
• 
  Lei Luo, Heng Huang:
  Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning. 3722-3729
• 
  Shirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao:
  Consistent and Specific Multi-View Subspace Clustering. 3730-3737
• 
  Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
  Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. 3738-3745
• 
  Shlomi Maliah, Guy Shani:
  MDP-Based Cost Sensitive Classification Using Decision Trees. 3746-3753
• 
  Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo:
  Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. 3754-3761
• 
  Ofir Marom, Benjamin Rosman:
  Belief Reward Shaping in Reinforcement Learning. 3762-3769
• 
  Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai:
  Learning Multi-Way Relations via Tensor Decomposition With Neural Networks. 3770-3777
• 
  Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville:
  Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. 3778-3787
• 
  Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang:
  Exploiting Emotion on Reviews for Recommender Systems. 3788-3795
• 
  Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang:
  Personalized Privacy-Preserving Social Recommendation. 3796-3803
• 
  Aditya Krishna Menon, Young Lee:
  Proper Loss Functions for Nonlinear Hawkes Processes. 3804-3811
• 
  Vinith Misra, Sumit Bhatia:
  Bernoulli Embeddings for Graphs. 3812-3819
• 
  Alejandro Molina, Alexander Munteanu, Kristian Kersting:
  Core Dependency Networks. 3820-3827
• 
  Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting:
  Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. 3828-3835
• 
  Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada:
  Alternating Circulant Random Features for Semigroup Kernels. 3836-3843
• 
  Sharad Nandanwar, M. Narasimha Murty:
  Overlap-Robust Decision Boundary Learning for Within-Network Classification. 3844-3851
• 
  Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde:
  A Provable Approach for Double-Sparse Coding. 3852-3859
• 
  Takayuki Osa, Masashi Sugiyama:
  Hierarchical Policy Search via Return-Weighted Density Estimation. 3860-3867
• 
  Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara:
  Dynamic Determinantal Point Processes. 3868-3875
• 
  Ruofei Ouyang, Kian Hsiang Low:
  Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception. 3876-3883
• 
  Mete Özay, Takayuki Okatani:
  Training CNNs With Normalized Kernels. 3884-3891
• 
  Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu:
  Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. 3892-3899
• 
  Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
  SAGA: A Submodular Greedy Algorithm for Group Recommendation. 3900-3908
• 
  Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
  Quantized Memory-Augmented Neural Networks. 3909-3916
• 
  Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon:
  Adversarial Dropout for Supervised and Semi-Supervised Learning. 3917-3924
• 
  Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson:
  Alternating Optimisation and Quadrature for Robust Control. 3925-3933
• 
  Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
  Multi-Adversarial Domain Adaptation. 3934-3941
• 
  Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron C. Courville:
  FiLM: Visual Reasoning with a General Conditioning Layer. 3942-3951
• 
  Silviu Pitis:
  Source Traces for Temporal Difference Learning. 3952-3959
• 
  Farhad Pourkamali Anaraki, Stephen Becker, Michael B. Wakin:
  Randomized Clustered Nystrom for Large-Scale Kernel Machines. 3960-3967
• 
  S. Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
  Joint Learning of Set Cardinality and State Distribution. 3968-3975
• 
  Raif M. Rustamov, James T. Klosowski:
  Interpretable Graph-Based Semi-Supervised Learning via Flows. 3976-3983
• 
  Shota Saito, Danilo P. Mandic, Hideyuki Suzuki:
  Hypergraph p-Laplacian: A Differential Geometry View. 3984-3991
• 
  Aghiles Salah, Melissa Ailem, Mohamed Nadif:
  Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. 3992-3999
• 
  Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang:
  Learning Vector Autoregressive Models With Latent Processes. 4000-4007
• 
  Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim:
  Regularizing Deep Networks Using Efficient Layerwise Adversarial Training. 4008-4015
• 
  Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro:
  From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. 4016-4025
• 
  Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh:
  On Data-Dependent Random Features for Improved Generalization in Supervised Learning. 4026-4033
• 
  Shiv Shankar, Sunita Sarawagi:
  Labeled Memory Networks for Online Model Adaptation. 4034-4041
• 
  Shashank Sharma, Vinay P. Namboodiri:
  No Modes Left Behind: Capturing the Data Distribution Effectively Using GANs. 4042-4049
• 
  Qi She, Yuan Gao, Kai Xu, Rosa H. M. Chan:
  Reduced-Rank Linear Dynamical Systems. 4050-4057
• 
  Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu:
  Wasserstein Distance Guided Representation Learning for Domain Adaptation. 4058-4065
• 
  Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
  Compact Multi-Label Learning. 4066-4073
• 
  Shinichi Shirakawa, Yasushi Iwata, Youhei Akimoto:
  Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling. 4074-4082
• 
  Adish Singla, Seyed Hamed Hassani, Andreas Krause:
  Learning to Interact With Learning Agents. 4083-4090
• 
  Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias:
  Attend and Diagnose: Clinical Time Series Analysis Using Attention Models. 4091-4098
• 
  Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé:
  Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. 4099-4106
• 
  Gan Sun, Yang Cong, Xiaowei Xu:
  Active Lifelong Learning With "Watchdog". 4107-4114
• 
  Wesley Tansey, Karl Pichotta, James G. Scott:
  Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction. 4115-4122
• 
  Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu:
  Reliable Multi-View Clustering. 4123-4130
• 
  Arash Tavakoli, Fabio Pardo, Petar Kormushev:
  Action Branching Architectures for Deep Reinforcement Learning. 4131-4138
• 
  Shixin Tian, Guolei Yang, Ying Cai:
  Detecting Adversarial Examples Through Image Transformation. 4139-4146
• 
  Tian Tian, Yichi Zhou, Jun Zhu:
  Selective Verification Strategy for Learning From Crowds. 4147-4154
• 
  Anthony Tompkins, Fabio Ramos:
  Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling. 4155-4162
• 
  Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito:
  Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. 4163-4170
• 
  Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint:
  Bayesian Functional Optimization. 4171-4178
• 
  Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan:
  Kernel Cross-Correlator. 4179-4186
• 
  Li Wang, Dajiang Zhu, Yujie Chi:
  Efficient Test-Time Predictor Learning With Group-Based Budget. 4187-4194
• 
  Lichen Wang, Zhengming Ding, Yun Fu:
  Learning Transferable Subspace for Human Motion Segmentation. 4195-4202
• 
  Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He:
  Information-Theoretic Domain Adaptation Under Severe Noise Conditions. 4203-4210
• 
  Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin:
  Zero-Shot Learning via Class-Conditioned Deep Generative Models. 4211-4218
• 
  Xishun Wang, Minjie Zhang, Fenghui Ren:
  Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks. 4219-4226
• 
  Yanjie Wang, Rainer Gemulla, Hui Li:
  On Multi-Relational Link Prediction With Bilinear Models. 4227-4234
• 
  Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
  Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. 4235-4243
• 
  Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu:
  On the ERM Principle With Networked Data. 4244-4251
• 
  Yugang Wang, Ehsan Elhamifar:
  High Rank Matrix Completion With Side Information. 4252-4259
• 
  Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
  Adversarial Learning of Portable Student Networks. 4260-4267
• 
  Jianqiao Wangni:
  Orthant-Wise Passive Descent Algorithms for Training L₁-Regularized Models. 4268-4275
• 
  Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel:
  MERCS: Multi-Directional Ensembles of Regression and Classification Trees. 4276-4283
• 
  Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang:
  Decoupled Convolutions for CNNs. 4284-4291
• 
  Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu:
  Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. 4292-4301
• 
  Ming-Kun Xie, Sheng-Jun Huang:
  Partial Multi-Label Learning. 4302-4309
• 
  Zheng Xie, Ming Li:
  Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data. 4310-4317
• 
  You-Lu Xing, Fu-Rao Shen, Jin-Xi Zhao, Jing-Xin Pan, Ah-Hwee Tan:
  Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding. 4318-4325
• 
  Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao:
  HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation. 4326-4334
• 
  Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong:
  Deep Neural Network Compression With Single and Multiple Level Quantization. 4335-4342
• 
  Niannan Xue, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
  Informed Non-Convex Robust Principal Component Analysis With Features. 4343-4349
• 
  Jiexi Yan, Cheng Deng, Xianglong Liu:
  Dictionary Learning in Optimal Metric Space. 4350-4357
• 
  Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng:
  Automatic Model Selection in Subspace Clustering via Triplet Relationships. 4358-4365
• 
  Sikun Yang, Heinz Koeppl:
  A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks. 4366-4373
• 
  Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie:
  New l_{2, 1}-Norm Relaxation of Multi-Way Graph Cut for Clustering. 4374-4381
• 
  Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani:
  Efficient K-Shot Learning With Regularized Deep Networks. 4382-4389
• 
  Shan You, Chang Xu, Chao Xu, Dacheng Tao:
  Learning With Single-Teacher Multi-Student. 4390-4397
• 
  Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha:
  Tau-FPL: Tolerance-Constrained Learning in Linear Time. 4398-4405
• 
  Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen:
  Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. 4406-4413
• 
  Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang:
  Latent Semantic Aware Multi-View Multi-Label Classification. 4414-4421
• 
  Jason (Jiasheng) Zhang, Dongwon Lee:
  ROAR: Robust Label Ranking for Social Emotion Mining. 4422-4429
• 
  Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen:
  Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space. 4430-4437
• 
  Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen:
  An End-to-End Deep Learning Architecture for Graph Classification. 4438-4445
• 
  Qian-Wen Zhang, Yun Zhong, Min-Ling Zhang:
  Feature-Induced Labeling Information Enrichment for Multi-Label Learning. 4446-4453
• 
  Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu:
  Interpreting CNN Knowledge via an Explanatory Graph. 4454-4463
• 
  Quanshi Zhang, Wenguan Wang, Song-Chun Zhu:
  Examining CNN Representations With Respect to Dataset Bias. 4464-4473
• 
  Teng Zhang, Zhi-Hua Zhou:
  Optimal Margin Distribution Clustering. 4474-4481
• 
  Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright:
  Training Set Debugging Using Trusted Items. 4482-4489
• 
  Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao:
  EMD Metric Learning. 4490-4497
• 
  Liang Zhao, Junxiang Wang, Xiaojie Guo:
  Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators. 4498-4505
• 
  Peng Zhao, Zhi-Hua Zhou:
  Label Distribution Learning by Optimal Transport. 4506-4513
• 
  Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao:
  Substructure Assembling Network for Graph Classification. 4514-4521
• 
  Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao:
  Hypergraph Learning With Cost Interval Optimization. 4522-4529
• 
  Zhibing Zhao, Tristan Villamil, Lirong Xia:
  Learning Mixtures of Random Utility Models. 4530-4538
• 
  Feng Zheng, Heng Huang:
  Direct Hashing Without Pseudo-Labels. 4539-4546
• 
  Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao:
  Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps. 4547-4555
• 
  Xiang Zheng, Xiuyi Jia, Weiwei Li:
  Label Distribution Learning by Exploiting Sample Correlations Locally. 4556-4563
• 
  Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao:
  ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. 4564-4571
• 
  Datong P. Zhou, Claire J. Tomlin:
  Budget-Constrained Multi-Armed Bandits With Multiple Plays. 4572-4579
• 
  Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai:
  Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. 4580-4587
• 
  Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh:
  SC2Net: Sparse LSTMs for Sparse Coding. 4588-4595
• 
  Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard:
  Adaptive Quantization for Deep Neural Network. 4596-4604
• 
  Yuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas J. Spanos:
  Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis. 4605-4612
• 
  Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han:
  A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. 4613-4620
• 
  Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
  Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. 4621-4629

AAAI18 - Multiagent Systems

• 
  Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
  Learning the Behavior of a Dynamical System Via a "20 Questions" Approach. 4630-4637
• 
  Haris Aziz, Sylvain Bouveret, Ioannis Caragiannis, Ira Giagkousi, Jérôme Lang:
  Knowledge, Fairness, and Social Constraints. 4638-4645
• 
  Shuo Chen, Athirai Aravazhi Irissappane, Jie Zhang:
  POMDP-Based Decision Making for Fast Event Handling in VANETs. 4646-4653
• 
  Ziyu Chen, Tengfei Wu, Yanchen Deng, Cheng Zhang:
  An Ant-Based Algorithm to Solve Distributed Constraint Optimization Problems. 4654-4661
• 
  Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt:
  Preallocation and Planning Under Stochastic Resource Constraints. 4662-4669
• 
  Palash Dey:
  Manipulative Elicitation - A New Attack on Elections with Incomplete Preferences. 4670-4677
• 
  Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis:
  Control Argumentation Frameworks. 4678-4685
• 
  David Mguni, Joel Jennings, Enrique Munoz de Cote:
  Decentralised Learning in Systems With Many, Many Strategic Agents. 4686-4693
• 
  Shun Miao, Sebastien Piat, Peter Walter Fischer, Ahmet Tuysuzoglu, Philip Walter Mewes, Tommaso Mansi, Rui Liao:
  Dilated FCN for Multi-Agent 2D/3D Medical Image Registration. 4694-4701
• 
  Pavel Naumov, Jia Tao:
  Strategic Coalitions With Perfect Recall. 4702-4709
• 
  Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
  The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. 4710-4717
• 
  Jiang Rong, Tao Qin, Bo An:
  Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. 4718-4726
• 
  Fernando P. Santos, Jorge M. Pacheco, Francisco C. Santos:
  Social Norms of Cooperation With Costly Reputation Building. 4727-4734
• 
  Davide Tateo, Jacopo Banfi, Alessandro Riva, Francesco Amigoni, Andrea Bonarini:
  Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With It. 4735-4742
• 
  Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe:
  Maximizing Influence in an Unknown Social Network. 4743-4750
• 
  Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein:
  Integrated Cooperation and Competition in Multi-Agent Decision-Making. 4751-4758
• 
  Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
  Privacy-Preserving Policy Iteration for Decentralized POMDPs. 4759-4766
• 
  Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An:
  HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. 4767-4775

AAAI18 - NLP and Knowledge Representation

• 
  James F. Allen, Omid Bahkshandeh, William de Beaumont, Lucian Galescu, Choh Man Teng:
  Effective Broad-Coverage Deep Parsing. 4776-4783
• 
  Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li:
  Faithful to the Original: Fact Aware Neural Abstractive Summarization. 4784-4791
• 
  Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
  Syntax-Directed Attention for Neural Machine Translation. 4792-4799
• 
  Ping Chen, Fei Wu, Tong Wang, Wei Ding:
  A Semantic QA-Based Approach for Text Summarization Evaluation. 4800-4807
• 
  Peng Fu, Zheng Lin, Fengcheng Yuan, Weiping Wang, Dan Meng:
  Learning Sentiment-Specific Word Embedding via Global Sentiment Representation. 4808-4815
• 
  Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
  Knowledge Graph Embedding With Iterative Guidance From Soft Rules. 4816-4823
• 
  Amit Gupta, Rémi Lebret, Hamza Harkous, Karl Aberer:
  280 Birds With One Stone: Inducing Multilingual Taxonomies From Wikipedia Using Character-Level Classification. 4824-4831
• 
  Xu Han, Zhiyuan Liu, Maosong Sun:
  Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text. 4832-4839
• 
  I-Ta Lee, Dan Goldwasser:
  FEEL: Featured Event Embedding Learning. 4840-4847
• 
  Wenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu, Min-Yen Kan:
  Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution. 4848-4855
• 
  Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel:
  Actionable Email Intent Modeling With Reparametrized RNNs. 4856-4864
• 
  Jian Liu, Yubo Chen, Kang Liu, Jun Zhao:
  Event Detection via Gated Multilingual Attention Mechanism. 4865-4872
• 
  Lemao Liu, Muhua Zhu, Shuming Shi:
  Improving Sequence-to-Sequence Constituency Parsing. 4873-4880
• 
  Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
  Table-to-Text Generation by Structure-Aware Seq2seq Learning. 4881-4888
• 
  Stefano Menini, Elena Cabrio, Sara Tonelli, Serena Villata:
  Never Retreat, Never Retract: Argumentation Analysis for Political Speeches. 4889-4896
• 
  Xiaochang Peng, Daniel Gildea, Giorgio Satta:
  AMR Parsing With Cache Transition Systems. 4897-4904
• 
  Sepideh Sadeghi, Matthias Scheutz:
  Early Syntactic Bootstrapping in an Incremental Memory-Limited Word Learner. 4905-4912
• 
  Vivian Dos Santos Silva, Siegfried Handschuh, André Freitas:
  Recognizing and Justifying Text Entailment Through Distributional Navigation on Definition Graphs. 4913-4920
• 
  Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy:
  SPINE: SParse Interpretable Neural Embeddings. 4921-4928
• 
  Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi:
  Deep Semantic Role Labeling With Self-Attention. 4929-4936
• 
  Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
  Translating Pro-Drop Languages With Reconstruction Models. 4937-4945
• 
  Noah Weber, Niranjan Balasubramanian, Nathanael Chambers:
  Event Representations With Tensor-Based Compositions. 4946-4953
• 
  Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin:
  Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence. 4954-4961
• 
  Hao Xiong, Zhongjun He, Xiaoguang Hu, Hua Wu:
  Multi-Channel Encoder for Neural Machine Translation. 4962-4969
• 
  Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang:
  Augmenting End-to-End Dialogue Systems With Commonsense Knowledge. 4970-4977
• 
  Minghua Zhang, Yunfang Wu:
  An Unsupervised Model With Attention Autoencoders for Question Retrieval. 4978-4986
• 
  Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou:
  Sequential Copying Networks. 4987-4995

AAAI18 - NLP and Machine Learning

• 
  Chaitanya Ahuja, Louis-Philippe Morency:
  Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling. 4996-5003
• 
  Domagoj Alagic, Jan Snajder, Sebastian Padó:
  Leveraging Lexical Substitutes for Unsupervised Word Sense Induction. 5004-5011
• 
  Mikel Artetxe, Gorka Labaka, Eneko Agirre:
  Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations. 5012-5019
• 
  Jun-Wei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao:
  Table-to-Text: Describing Table Region With Natural Language. 5020-5027
• 
  Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu:
  Learning Interpretable Spatial Operations in a Rich 3D Blocks World. 5028-5036
• 
  Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi:
  Using k-Way Co-Occurrences for Learning Word Embeddings. 5037-5044
• 
  Florin Adrian Bulgarov, Rodney Nielsen:
  Proposition Entailment in Educational Applications using Deep Neural Networks. 8053-8054
• 
  Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li:
  cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information. 5053-5061
• 
  Devendra Singh Chaplot, Ruslan Salakhutdinov:
  Knowledge-based Word Sense Disambiguation using Topic Models. 5062-5069
• 
  Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang:
  Meta Multi-Task Learning for Sequence Modeling. 5070-5077
• 
  Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino:
  IMS-DTM: Incremental Multi-Scale Dynamic Topic Models. 5078-5085
• 
  Yun Chen, Yang Liu, Victor O. K. Li:
  Zero-Resource Neural Machine Translation with Multi-Agent Communication Game. 5086-5093
• 
  Jihun Choi, Kang Min Yoo, Sang-goo Lee:
  Learning to Compose Task-Specific Tree Structures. 5094-5101
• 
  Jiangtao Feng, Xiaoqing Zheng:
  Geometric Relationship between Word and Context Representations. 5102-5109
• 
  Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
  A Knowledge-Grounded Neural Conversation Model. 5110-5117
• 
  Ana Valeria González-Garduño, Anders Søgaard:
  Learning to Predict Readability Using Eye-Movement Data From Natives and Learners. 5118-5124
• 
  Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li:
  Neural Machine Translation with Gumbel-Greedy Decoding. 5125-5132
• 
  Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li:
  Search Engine Guided Neural Machine Translation. 5133-5140
• 
  Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang:
  Long Text Generation via Adversarial Training with Leaked Information. 5141-5148
• 
  Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai:
  A Deep Generative Framework for Paraphrase Generation. 5149-5156
• 
  Ting Han, Casey Kennington, David Schlangen:
  Placing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial Descriptions. 5157-5164
• 
  Homa B. Hashemi, Rebecca Hwa:
  Jointly Parse and Fragment Ungrammatical Sentences. 5165-5172
• 
  Christopher Hidey, Kathleen R. McKeown:
  Persuasive Influence Detection: The Role of Argument Sequencing. 5173-5180
• 
  Shiou Tian Hsu, Changsung Moon, Paul Jones, Nagiza F. Samatova:
  An Interpretable Generative Adversarial Approach to Classification of Latent Entity Relations in Unstructured Sentences. 5181-5188
• 
  Tushar Khot, Ashish Sabharwal, Peter Clark:
  SciTaiL: A Textual Entailment Dataset from Science Question Answering. 5189-5197
• 
  Douwe Kiela, Edouard Grave, Armand Joulin, Tomas Mikolov:
  Efficient Large-Scale Multi-Modal Classification. 5198-5204
• 
  Haonan Li, Zhisong Zhang, Yuqi Ju, Hai Zhao:
  Neural Character-level Dependency Parsing for Chinese. 5205-5212
• 
  Juncen Li, Ping Luo, Fen Lin, Bo Chen:
  Conversational Model Adaptation via KL Divergence Regularization. 5213-5219
• 
  Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu:
  Slim Embedding Layers for Recurrent Neural Language Models. 5220-5228
• 
  Yuding Liang, Kenny Qili Zhu:
  Automatic Generation of Text Descriptive Comments for Code Blocks. 5229-5236
• 
  Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng:
  BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems. 5237-5244
• 
  Bing Liu, Tong Yu, Ian Lane, Ole J. Mengshoel:
  Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. 5245-5252
• 
  Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han:
  Empower Sequence Labeling with Task-Aware Neural Language Model. 5253-5260
• 
  Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu:
  Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. 5261-5268
• 
  Yang Liu, Wenge Rong, Zhang Xiong:
  Improved Text Matching by Enhancing Mutual Information. 5269-5276
• 
  Farhana Ferdousi Liza, Marek Grzes:
  Improving Language Modelling with Noise Contrastive Estimation. 5277-5284
• 
  Lajanugen Logeswaran, Honglak Lee, Dragomir R. Radev:
  Sentence Ordering and Coherence Modeling using Recurrent Neural Networks. 5285-5292
• 
  Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura:
  Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach. 5293-5300
• 
  Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie:
  CoChat: Enabling Bot and Human Collaboration for Task Completion. 5301-5308
• 
  Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James R. Glass:
  Fact Checking in Community Forums. 5309-5316
• 
  Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang:
  Personalizing a Dialogue System With Transfer Reinforcement Learning. 5317-5324
• 
  Vishal Ishwar Naik, Angeliki Metallinou, Rahul Goel:
  Context Aware Conversational Understanding for Intelligent Agents With a Screen. 5325-5332
• 
  Thanapon Noraset, David Demeter, Doug Downey:
  Controlling Global Statistics in Recurrent Neural Network Text Generation. 5333-5341
• 
  James O'Neill, Paul Buitelaar:
  Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network. 5342-5349
• 
  Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng:
  Question-Answering with Grammatically-Interpretable Representations. 5350-5357
• 
  Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen:
  Canonical Correlation Inference for Mapping Abstract Scenes to Text. 5358-5365
• 
  Natalie Parde, Rodney D. Nielsen:
  Exploring the Terrain of Metaphor Novelty: A Regression-Based Approach for Automatically Scoring Metaphors. 5366-5373
• 
  Tommaso Pasini, Roberto Navigli:
  Two Knowledge-based Methods for High-Performance Sense Distribution Learning. 5374-5381
• 
  Haoyuan Peng, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng:
  Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing. 5382-5389
• 
  Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell:
  Multi-Task Learning For Parsing The Alexa Meaning Representation Language. 5390-5397
• 
  Daniel W. Peterson, Martha Palmer:
  Bayesian Verb Sense Clustering. 5398-5405
• 
  Jonathan Raiman, Olivier Raiman:
  DeepType: Multilingual Entity Linking by Neural Type System Evolution. 5406-5413
• 
  Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
  Order-Planning Neural Text Generation From Structured Data. 5414-5421
• 
  Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui:
  A Multi-View Fusion Neural Network for Answer Selection. 5422-5429
• 
  Harshil Shah, Bowen Zheng, David Barber:
  Generating Sentences Using a Dynamic Canvas. 5430-5437
• 
  Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin:
  Deconvolutional Latent-Variable Model for Text Sequence Matching. 5438-5445
• 
  Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang:
  DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. 5446-5455
• 
  Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg:
  Improving Variational Encoder-Decoders in Dialogue Generation. 5456-5463
• 
  Avirup Sil, Gourab Kundu, Radu Florian, Wael Hamza:
  Neural Cross-Lingual Entity Linking. 5464-5472
• 
  Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
  Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. 5473-5480
• 
  Behrouz Haji Soleimani, Stan Matwin:
  Spectral Word Embedding with Negative Sampling. 5481-5487
• 
  Jinsong Su, Shan Wu, Deyi Xiong, Yaojie Lu, Xianpei Han, Biao Zhang:
  Variational Recurrent Neural Machine Translation. 5488-5495
• 
  Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang:
  Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method. 5496-5503
• 
  Hao Tan, Mohit Bansal:
  Source-Target Inference Models for Spatial Instruction Understanding. 5504-5511
• 
  Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
  Cross Temporal Recurrent Networks for Ranking Question Answer Pairs. 5512-5519
• 
  Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
  Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. 5520-5527
• 
  Chen-Tse Tsai, Dan Roth:
  Learning Better Name Translation for Cross-Lingual Wikification. 5528-5536
• 
  Bailin Wang, Wei Lu:
  Learning Latent Opinions for Aspect-level Sentiment Classification. 5537-5544
• 
  Lei Wang, Dongxiang Zhang, Lianli Gao, Jingkuan Song, Long Guo, Heng Tao Shen:
  MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning. 5545-5552
• 
  Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu:
  Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. 5553-5560
• 
  Yuxuan Wang, Wanxiang Che, Jiang Guo, Ting Liu:
  A Neural Transition-Based Approach for Semantic Dependency Graph Parsing. 5561-5568
• 
  Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston:
  StarSpace: Embed All The Things! 5569-5577
• 
  Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu:
  Word Attention for Sequence to Sequence Text Understanding. 5578-5585
• 
  Yu Wu, Wei Wu, Can Xu, Zhoujun Li:
  Knowledge Enhanced Hybrid Neural Network for Text Matching. 5586-5593
• 
  Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li:
  Neural Response Generation With Dynamic Vocabularies. 5594-5601
• 
  Yuxiang Wu, Baotian Hu:
  Learning to Extract Coherent Summary via Deep Reinforcement Learning. 5602-5609
• 
  Chen Xing, Yu Wu, Wei Wu, Yalou Huang, Ming Zhou:
  Hierarchical Recurrent Attention Network for Response Generation. 5610-5617
• 
  Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du:
  How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. 5618-5625
• 
  Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
  Learning Multi-Modal Word Representation Grounded in Visual Context. 5626-5633
• 
  Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency:
  Memory Fusion Network for Multi-view Sequential Learning. 5634-5641
• 
  Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency:
  Multi-attention Recurrent Network for Human Communication Comprehension. 5642-5649
• 
  Xiangkai Zeng, Cheng Yang, Cunchao Tu, Zhiyuan Liu, Maosong Sun:
  Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention. 5650-5657
• 
  Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao:
  Large Scaled Relation Extraction With Reinforcement Learning. 5658-5665
• 
  Peng Zhang, Jiabin Niu, Zhan Su, Benyou Wang, Liqun Ma, Dawei Song:
  End-to-End Quantum-like Language Models with Application to Question Answering. 5666-5673
• 
  Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang:
  Adaptive Co-attention Network for Named Entity Recognition in Tweets. 5674-5681
• 
  Qi Zhang, Xiaoyu Liu, Jinlan Fu:
  Neural Networks Incorporating Dictionaries for Chinese Word Segmentation. 5682-5689
• 
  Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir R. Radev:
  Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs. 5690-5697
• 
  Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang:
  Asynchronous Bidirectional Decoding for Neural Machine Translation. 5698-5705
• 
  Xiao Zhang, Ji Wu, Zhiyang He, Xien Liu, Ying Su:
  Medical Exam Question Answering with Large-scale Reading Comprehension. 5706-5713
• 
  Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie:
  CoLink: An Unsupervised Framework for User Identity Linkage. 5714-5721
• 
  Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He:
  Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. 5722-5729
• 
  Ganbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He:
  Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting. 5730-5737
• 
  Yi Zhou, Junying Zhou, Lu Liu, Jiangtao Feng, Haoyuan Peng, Xiaoqing Zheng:
  RNN-Based Sequence-Preserved Attention for Dependency Parsing. 5738-5746

AAAI18 - NLP and Text Mining

• 
  Xiaoyan Cai, Junwei Han, Libin Yang:
  Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation. 5747-5754
• 
  Shamil Chollampatt, Hwee Tou Ng:
  A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction. 5755-5762
• 
  Haibo Ding, Ellen Riloff:
  Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency. 5763-5770
• 
  Xin Dong, Gerard de Melo:
  Cross-Lingual Propagation for Deep Sentiment Analysis. 5771-5778
• 
  Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu:
  Reinforcement Learning for Relation Classification From Noisy Data. 5779-5786
• 
  Ruifang He, Xingyi Duan:
  Twitter Summarization Based on Social Network and Sparse Reconstruction. 5787-5794
• 
  Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang:
  SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction. 5795-5802
• 
  Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, Ryu Iida, Canasai Kruengkrai, Julien Kloetzer:
  Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions. 5803-5811
• 
  Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti:
  Task-Specific Representation Learning for Web-Scale Entity Disambiguation. 5812-5819
• 
  Tom Kenter, Llion Jones, Daniel Hewlett:
  Byte-Level Machine Reading Across Morphologically Varied Languages. 5820-5827
• 
  Souvik Kundu, Hwee Tou Ng:
  A Question-Focused Multi-Factor Attention Network for Question Answering. 5828-5835
• 
  Chen Li, Jianxin Li, Yangqiu Song, Ziwei Lin:
  Training and Evaluating Improved Dependency-Based Word Embeddings. 5836-5843
• 
  Chenrui Li, Yuanbin Wu, Man Lan:
  Inference on Syntactic and Semantic Structures for Machine Comprehension. 5844-5851
• 
  Zheng Li, Ying Wei, Yu Zhang, Qiang Yang:
  Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. 5852-5859
• 
  Shangsong Liang:
  Dynamic User Profiling for Streams of Short Texts. 5860-5867
• 
  Yi Luo, Guojie Song, Pengyu Li, Zhongang Qi:
  Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network. 5868-5875
• 
  Yukun Ma, Haiyun Peng, Erik Cambria:
  Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. 5876-5883
• 
  Abhijit Mishra, Srikanth Tamilselvam, Riddhiman Dasgupta, Seema Nagar, Kuntal Dey:
  Cognition-Cognizant Sentiment Analysis With Multitask Subjectivity Summarization Based on Annotators' Gaze Behavior. 5884-5891
• 
  Huy V. Nguyen, Diane J. Litman:
  Argument Mining for Improving the Automated Scoring of Persuasive Essays. 5892-5899
• 
  Thien Huu Nguyen, Ralph Grishman:
  Graph Convolutional Networks With Argument-Aware Pooling for Event Detection. 5900-5907
• 
  Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan:
  Mention and Entity Description Co-Attention for Entity Disambiguation. 5908-5915
• 
  Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui:
  Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. 5916-5923
• 
  Stanley Simoes, Deepak P, Munu Sairamesh, Deepak Khemani, Sameep Mehta:
  Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction. 5924-5931
• 
  Yiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang:
  Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes. 5932-5939
• 
  Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou:
  S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension. 5940-5947
• 
  Yi Tay, Minh C. Phan, Luu Anh Tuan, Siu Cheung Hui:
  SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring. 5948-5955
• 
  Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
  Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis. 5956-5963
• 
  Shaonan Wang, Jiajun Zhang, Nan Lin, Chengqing Zong:
  Investigating Inner Properties of Multimodal Representation and Semantic Compositionality With Brain-Based Componential Semantics. 5964-5972
• 
  Shaonan Wang, Jiajun Zhang, Chengqing Zong:
  Learning Multimodal Word Representation via Dynamic Fusion Methods. 5973-5980
• 
  Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang:
  R³: Reinforced Ranker-Reader for Open-Domain Question Answering. 5981-5988
• 
  Zhen Wu, Xin-Yu Dai, Cunyan Yin, Shujian Huang, Jiajun Chen:
  Improving Review Representations With User Attention and Product Attention for Sentiment Classification. 5989-5996
• 
  Ji Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun:
  Improving Neural Fine-Grained Entity Typing With Knowledge Attention. 5997-6004
• 
  Linzi Xing, Michael J. Paul:
  Diagnosing and Improving Topic Models by Analyzing Posterior Variability. 6005-6012
• 
  Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
  Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. 6013-6020
• 
  Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li:
  Assertion-Based QA With Question-Aware Open Information Extraction. 6021-6028
• 
  Jun Yang, Runqi Yang, Chongjun Wang, Junyuan Xie:
  Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect Memory. 6029-6036
• 
  Zheng Yuan, Doug Downey:
  OTyper: A Neural Architecture for Open Named Entity Typing. 6037-6044
• 
  Ying Zeng, Yansong Feng, Rong Ma, Zheng Wang, Rui Yan, Chongde Shi, Dongyan Zhao:
  Scale Up Event Extraction Learning via Automatic Training Data Generation. 6045-6052
• 
  Tianyang Zhang, Minlie Huang, Li Zhao:
  Learning Structured Representation for Text Classification via Reinforcement Learning. 6053-6060
• 
  Xiaodong Zhang, Xu Sun, Houfeng Wang:
  Duplicate Question Identification by Integrating FrameNet With Neural Networks. 6061-6068
• 
  Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song:
  Variational Reasoning for Question Answering With Knowledge Graph. 6069-6076
• 
  Haichao Zhu, Furu Wei, Bing Qin, Ting Liu:
  Hierarchical Attention Flow for Multiple-Choice Reading Comprehension. 6077-6085

AAAI18 - Planning and Scheduling

• 
  Lucas Agussurja, Akshat Kumar, Hoong Chuin Lau:
  Resource-Constrained Scheduling for Maritime Traffic Management. 6086-6093
• 
  Masataro Asai, Alex Fukunaga:
  Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary. 6094-6101
• 
  Wilmer Bandres, Blai Bonet, Hector Geffner:
  Planning With Pixels in (Almost) Real Time. 6102-6109
• 
  Gregor Behnke, Daniel Höller, Susanne Biundo:
  totSAT - Totally-Ordered Hierarchical Planning Through SAT. 6110-6118
• 
  Johannes Blum, Stefan Funke, Sabine Storandt:
  Sublinear Search Spaces for Shortest Path Planning in Grid and Road Networks. 6119-6126
• 
  Hong-Min Chu, Shao-Wen Yang, Padmanabhan Pillai, Yen-Kuang Chen:
  Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions. 6127-6135
• 
  Eldan Cohen, J. Christopher Beck:
  Fat- and Heavy-Tailed Behavior in Satisficing Planning. 6136-6143
• 
  Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor:
  Finite Sample Analyses for TD(0) With Function Approximation. 6144-6160
• 
  Giuseppe De Giacomo, Moshe Y. Vardi, Paolo Felli, Natasha Alechina, Brian Logan:
  Synthesis of Orchestrations of Transducers for Manufacturing. 6161-6168
• 
  Raquel Fuentetaja, Michael W. Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco, Patricia J. Riddle:
  Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis. 6169-6176
• 
  Rick Goldstein, Stephen F. Smith:
  Expressive Real-Time Intersection Scheduling. 6177-6185
• 
  Tarun Gupta, Akshat Kumar, Praveen Paruchuri:
  Planning and Learning for Decentralized MDPs With Event Driven Rewards. 6186-6194
• 
  Richard Hoshino:
  A Recursive Algorithm to Generate Balanced Weekend Tournaments. 6195-6201
• 
  Gal A. Kaminka, Mor Vered, Noa Agmon:
  Plan Recognition in Continuous Domains. 6202-6210
• 
  Michael Katz, Dany Moshkovich, Erez Karpas:
  Semi-Black Box: Rapid Development of Planning Based Solutions. 6211-6218
• 
  Shufeng Kong, Jae Hee Lee, Sanjiang Li:
  Multiagent Simple Temporal Problem: The Arc-Consistency Approach. 6219-6226
• 
  T. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock:
  Load Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing. 6227-6236
• 
  Robert Mattmüller, Florian Geißer, Benedict Wright, Bernhard Nebel:
  On the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning. 6237-6245
• 
  Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovacevic:
  Generalized Value Iteration Networks: Life Beyond Lattices. 6246-6253
• 
  Chiara Piacentini, Margarita P. Castro, André Augusto Ciré, J. Christopher Beck:
  Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning. 6254-6261
• 
  Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
  Sensor-Based Activity Recognition via Learning From Distributions. 6262-6269
• 
  Abdallah Saffidine, François Schwarzentruber, Bruno Zanuttini:
  Knowledge-Based Policies for Qualitative Decentralized POMDPs. 6270-6277
• 
  Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
  Risk-Aware Proactive Scheduling via Conditional Value-at-Risk. 6278-6285
• 
  Patrick Speicher, Marcel Steinmetz, Michael Backes, Jörg Hoffmann, Robert Künnemann:
  Stackelberg Planning: Towards Effective Leader-Follower State Space Search. 6286-6293
• 
  Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie:
  Action Schema Networks: Generalised Policies With Deep Learning. 6294-6301
• 
  Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha:
  Learning Conditional Generative Models for Temporal Point Processes. 6302-6310

AAAI18 - Reasoning under Uncertainty

• 
  Dalal Alrajeh, Hana Chockler, Joseph Y. Halpern:
  Combining Experts' Causal Judgments. 6311-6318
• 
  Florian Benavent, Bruno Zanuttini:
  An Experimental Study of Advice in Sequential Decision-Making Under Uncertainty. 6319-6326
• 
  Liat Cohen, Tal Grinshpoun, Gera Weiss:
  Optimal Approximation of Random Variables for Estimating the Probability of Meeting a Plan Deadline. 6327-6334
• 
  Juan D. Correa, Jin Tian, Elias Bareinboim:
  Generalized Adjustment Under Confounding and Selection Biases. 6335-6342
• 
  Kaya Deuser, Pavel Naumov:
  Armstrong's Axioms and Navigation Strategies. 6343-6350
• 
  Nicholas Gallo, Alexander T. Ihler:
  Lifted Generalized Dual Decomposition. 6351-6358
• 
  Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal:
  Learning Mixtures of MLNs. 6359-6366
• 
  Seyed Mehran Kazemi, David Poole:
  RelNN: A Deep Neural Model for Relational Learning. 6367-6375
• 
  Jonathan Kuck, Ashish Sabharwal, Stefano Ermon:
  Approximate Inference via Weighted Rademacher Complexity. 6376-6383
• 
  Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert:
  Relational Marginal Problems: Theory and Estimation. 6384-6391
• 
  Qi Lou, Rina Dechter, Alexander T. Ihler:
  Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP. 6392-6400
• 
  Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang:
  A Neural Stochastic Volatility Model. 6401-6408
• 
  Daniel J. Mankowitz, Timothy Arthur Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor:
  Learning Robust Options. 6409-6416
• 
  Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran:
  Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates. 6417-6424
• 
  Christian R. Shelton, Zhen Qin, Chandini Shetty:
  Hawkes Process Inference With Missing Data. 6425-6432
• 
  Yujia Shen, Arthur Choi, Adnan Darwiche:
  Conditional PSDDs: Modeling and Learning With Modular Knowledge. 6433-6442
• 
  Matvey Soloviev, Joseph Y. Halpern:
  Information Acquisition Under Resource Limitations in a Noisy Environment. 6443-6450
• 
  Bryan Wilder:
  Risk-Sensitive Submodular Optimization. 6451-6458
• 
  Zihao Xiao, Jianfei Chen, Jun Zhu:
  Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems. 6459-6467

AAAI18 - Robotics

• 
  Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni:
  IONet: Learning to Cure the Curse of Drift in Inertial Odometry. 6468-6476
• 
  Eduard Eiben, Jonathan Gemmell, Iyad A. Kanj, Andrew Youngdahl:
  Improved Results for Minimum Constraint Removal. 6477-6484
• 
  Nathan Fulton, André Platzer:
  Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning. 6485-6492
• 
  Vitor Guizilini, Fabio Ramos:
  Iterative Continuous Convolution for 3D Template Matching and Global Localization. 6493-6500
• 
  Fei Han, Hua Wang, Hao Zhang:
  Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection. 6501-6508
• 
  Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
  Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience. 6509-6516
• 
  Nisha Pillai, Cynthia Matuszek:
  Unsupervised Selection of Negative Examples for Grounded Language Learning. 6517-6523
• 
  Rouhollah Rahmatizadeh, Pooya Abolghasemi, Aman Behal, Ladislau Bölöni:
  From Virtual Demonstration to Real-World Manipulation Using LSTM and MDN. 6524-6531
• 
  Ransalu Senanayake, Fabio Ramos:
  Building Continuous Occupancy Maps With Moving Robots. 6532-6539
• 
  Arjun Sharma, Kris M. Kitani:
  Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments. 6540-6547
• 
  Akifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono:
  Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes. 6548-6556

AAAI18 - Search and Constraint Satisfaction

• 
  Roberto Amadini, Graeme Gange, Peter J. Stuckey:
  Sweep-Based Propagation for String Constraint Solving. 6557-6564
• 
  Maria Luisa Bonet, Sam Buss, Alexey Ignatiev, João Marques-Silva, António Morgado:
  MaxSAT Resolution With the Dual Rail Encoding. 6565-6572
• 
  Curtis Bright, Ilias S. Kotsireas, Vijay Ganesh:
  A SAT+CAS Method for Enumerating Williamson Matrices of Even Order. 6573-6580
• 
  Stefan Haller, Paul Swoboda, Bogdan Savchynskyy:
  Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. 6581-6588
• 
  Mohd. Hafiz Hasan, Pascal Van Hentenryck, Ceren Budak, Jiayu Chen, Chhavi Chaudhry:
  Community-Based Trip Sharing for Urban Commuting. 6589-6597
• 
  Marijn J. H. Heule:
  Schur Number Five. 6598-6606
• 
  Mikolás Janota:
  Towards Generalization in QBF Solving via Machine Learning. 6607-6614
• 
  Nina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk, Mooly Sagiv, Toby Walsh:
  Verifying Properties of Binarized Deep Neural Networks. 6615-6624
• 
  Guillaume Perez, Jean-Charles Régin:
  Parallel Algorithms for Operations on Multi-Valued Decision Diagrams. 6625-6632
• 
  Alessandro Previti, Carlos Mencía, Matti Järvisalo, João Marques-Silva:
  Premise Set Caching for Enumerating Minimal Correction Subsets. 6633-6640
• 
  Alexander A. Semenov, Oleg Zaikin, Ilya V. Otpuschennikov, Stepan Kochemazov, Alexey Ignatiev:
  On Cryptographic Attacks Using Backdoors for SAT. 6641-6648
• 
  Miguel Terra-Neves, Inês Lynce, Vasco M. Manquinho:
  Enhancing Constraint-Based Multi-Objective Combinatorial Optimization. 6649-6656
• 
  Wei Xia, Roland H. C. Yap:
  Learning Robust Search Strategies Using a Bandit-Based Approach. 6657-6665

AAAI18 - Vision

• 
  Wissam J. Baddar, Yong Man Ro:
  Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly Prediction. 6666-6673
• 
  Christian Bartz, Haojin Yang, Christoph Meinel:
  SEE: Towards Semi-Supervised End-to-End Scene Text Recognition. 6674-6681
• 
  Bing Cao, Nannan Wang, Xinbo Gao, Jie Li:
  Asymmetric Joint Learning for Heterogeneous Face Recognition. 6682-6689
• 
  Chunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan:
  Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection. 6690-6697
• 
  Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang:
  Transfer Adversarial Hashing for Hamming Space Retrieval. 6698-6705
• 
  Hui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han:
  Temporal-Difference Learning With Sampling Baseline for Image Captioning. 6706-6713
• 
  Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
  Order-Free RNN With Visual Attention for Multi-Label Classification. 6714-6721
• 
  Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang:
  Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks. 6722-6729
• 
  Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin:
  Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition. 6730-6737
• 
  Ernest Cheung, Anson Wong, Aniket Bera, Dinesh Manocha:
  MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training. 6738-6747
• 
  Shih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun:
  Self-View Grounding Given a Narrated 360° Video. 6748-6755
• 
  Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency:
  Using Syntax to Ground Referring Expressions in Natural Images. 6756-6764
• 
  Guillem Collell, Luc Van Gool, Marie-Francine Moens:
  Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates. 6765-6772
• 
  Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai:
  PixelLink: Detecting Scene Text via Instance Segmentation. 6773-6780
• 
  Hui Ding, Kumar Sricharan, Rama Chellappa:
  ExprGAN: Facial Expression Editing With Controllable Expression Intensity. 6781-6788
• 
  Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa:
  A Deep Cascade Network for Unaligned Face Attribute Classification. 6789-6796
• 
  Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang:
  Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. 6797-6804
• 
  Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Hao Yang, Zhikang Fu, Lili Zhao:
  Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition. 6805-6812
• 
  Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo:
  Self-Reinforced Cascaded Regression for Face Alignment. 6813-6820
• 
  Haoshu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu, Song-Chun Zhu:
  Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation. 6821-6828
• 
  Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa:
  Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks. 6829-6836
• 
  Jiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen:
  Stack-Captioning: Coarse-to-Fine Learning for Image Captioning. 6837-6844
• 
  Dan Guo, Wengang Zhou, Houqiang Li, Meng Wang:
  Hierarchical LSTM for Sign Language Translation. 6845-6852
• 
  Haiyun Guo, Chaoyang Zhao, Zhiwei Liu, Jinqiao Wang, Hanqing Lu:
  Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification. 6853-6860
• 
  Tianchu Guo, Youngsung Kim, Hui Zhang, Deheng Qian, ByungIn Yoo, Jingtao Xu, Dongqing Zou, Jae-Joon Han, Changkyu Choi:
  Residual Encoder Decoder Network and Adaptive Prior for Face Parsing. 6861-6869
• 
  Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang:
  Zero-Shot Learning With Attribute Selection. 6870-6877
• 
  Emily M. Hand, Carlos D. Castillo, Rama Chellappa:
  Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute Prediction. 6878-6885
• 
  Wang-Li Hao, Zhaoxiang Zhang, He Guan:
  CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation. 6886-6893
• 
  Wang-Li Hao, Zhaoxiang Zhang, He Guan:
  Integrating Both Visual and Audio Cues for Enhanced Video Caption. 6894-6901
• 
  Yue He, Kaidi Cao, Cheng Li, Chen Change Loy:
  Merge or Not? Learning to Group Faces via Imitation Learning. 6902-6909
• 
  Jingyi Hou, Xinxiao Wu, Jin Chen, Jiebo Luo, Yunde Jia:
  Unsupervised Deep Learning of Mid-Level Video Representation for Action Recognition. 6910-6917
• 
  BingZhang Hu, Feng Zheng, Ling Shao:
  Dual-Reference Face Retrieval. 6918-6925
• 
  Tao Hu, Honggang Qi, Jizheng Xu, Qingming Huang:
  Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network. 6926-6933
• 
  Ting-Kuei Hu, Yen-Yu Lin, Pi-Cheng Hsiu:
  Learning Adaptive Hidden Layers for Mobile Gesture Recognition. 6934-6942
• 
  Xiaowei Hu, Lei Zhu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
  Recurrently Aggregating Deep Features for Salient Object Detection. 6943-6950
• 
  Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao:
  SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning. 6951-6958
• 
  Wenhao Jiang, Lin Ma, Xinpeng Chen, Hanwang Zhang, Wei Liu:
  Learning to Guide Decoding for Image Captioning. 6959-6966
• 
  Jiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, Shaogang Gong:
  Deep Low-Resolution Person Re-Identification. 6967-6974
• 
  Jun-Sik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon:
  Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. 6975-6982
• 
  Namil Kim, Yukyung Choi, Soonmin Hwang, In So Kweon:
  Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision. 6983-6991
• 
  Matthew Klawonn, Eric Heim:
  Generating Triples With Adversarial Networks for Scene Graph Construction. 6992-6999
• 
  Yu Kong, Shangqian Gao, Bin Sun, Yun Fu:
  Action Prediction From Videos via Memorizing Hard-to-Predict Samples. 7000-7007
• 
  Xiangyuan Lan, Mang Ye, Shengping Zhang, Pong C. Yuen:
  Robust Collaborative Discriminative Learning for RGB-Infrared Tracking. 7008-7015
• 
  Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng:
  End-to-End United Video Dehazing and Detection. 7016-7023
• 
  Guanbin Li, Yuan Xie, Liang Lin:
  Weakly Supervised Salient Object Detection Using Image Labels. 7024-7031
• 
  Mengtian Li, László A. Jeni, Deva Ramanan:
  Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier. 7032-7040
• 
  Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan:
  DF²Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification. 7041-7048
• 
  Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan:
  Deep Semantic Structural Constraints for Zero-Shot Learning. 7049-7056
• 
  Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan:
  Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification. 7057-7064
• 
  Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin:
  Video Generation From Text. 7065-7072
• 
  Zeming Li, Yilun Chen, Gang Yu, Yangdong Deng:
  R-FCN++: Towards Accurate Region-Based Fully Convolutional Networks for Object Detection. 7073-7080
• 
  Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu:
  Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. 7081-7088
• 
  Guoqiang Liang, Xuguang Lan, Kang Zheng, Song Wang, Nanning Zheng:
  Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint. 7089-7097
• 
  Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen:
  Visual Relationship Detection With Deep Structural Ranking. 7098-7105
• 
  Wei Liang, Yixin Zhu, Song-Chun Zhu:
  Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions. 7106-7113
• 
  Chen-Hsuan Lin, Chen Kong, Simon Lucey:
  Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction. 7114-7121
• 
  Jianxin Lin, Tiankuang Zhou, Zhibo Chen:
  Multi-Scale Face Restoration With Sequential Gating Ensemble Network. 7122-7129
• 
  Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong:
  Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. 7130-7137
• 
  Kun Liu, Wu Liu, Chuang Gan, Mingkui Tan, Huadong Ma:
  T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition. 7138-7145
• 
  Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han:
  Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation. 7146-7153
• 
  Wei Liu, Chaofeng Chen, Kwan-Yee K. Wong:
  Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition. 7154-7161
• 
  Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang:
  Semi-Supervised Bayesian Attribute Learning for Person Re-Identification. 7162-7169
• 
  Wentao Liu, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu:
  A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation. 7170-7177
• 
  Yang Liu, Qingchao Chen, Wei Chen, Ian J. Wassell:
  Dictionary Learning Inspired Deep Network for Scene Recognition. 7178-7185
• 
  Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu:
  PoseHD: Boosting Human Detectors Using Human Pose Information. 7186-7193
• 
  Zichuan Liu, Yixing Li, Fengbo Ren, Wang Ling Goh, Hao Yu:
  SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network. 7194-7201
• 
  Xiang Long, Chuang Gan, Gerard de Melo, Xiao Liu, Yandong Li, Fu Li, Shilei Wen:
  Multimodal Keyless Attention Fusion for Video Classification. 7202-7209
• 
  Yang Long, Li Liu, Yuming Shen, Ling Shao:
  Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes. 7210-7217
• 
  Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang:
  Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering. 7218-7225
• 
  Xuequan Lu, Honghua Chen, Sai-Kit Yeung, Zhigang Deng, Wenzhi Chen:
  Unsupervised Articulated Skeleton Extraction From Point Set Sequences Captured by a Single Depth Camera. 7226-7234
• 
  Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Smith, Colin Wilder, Song Wang:
  Curve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects. 7235-7242
• 
  Chaojie Mao, Yingming Li, Yaqing Zhang, Zhongfei Zhang, Xi Li:
  Multi-Channel Pyramid Person Matching Network for Person Re-Identification. 7243-7250
• 
  Simon Meister, Junhwa Hur, Stefan Roth:
  UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss. 7251-7259
• 
  Yusuke Mukuta, Akisato Kimura, David B. Adrian, Zoubin Ghahramani:
  Weakly Supervised Collective Feature Learning From Curated Media. 7260-7267
• 
  Nils Murrugarra-Llerena, Adriana Kovashka:
  Asking Friendly Strangers: Non-Semantic Attribute Transfer. 7268-7275
• 
  Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang:
  Spatial as Deep: Spatial CNN for Traffic Scene Understanding. 7276-7283
• 
  Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin:
  Adaptive Feature Abstraction for Translating Video to Text. 7284-7291
• 
  Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu:
  Scene-Centric Joint Parsing of Cross-View Videos. 7292-7299
• 
  Tingting Qiao, Jianfeng Dong, Duanqing Xu:
  Exploring Human-Like Attention Supervision in Visual Question Answering. 7300-7307
• 
  Hongyu Ren, Diqi Chen, Yizhou Wang:
  RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment. 7308-7314
• 
  Michael S. Ryoo, Kiyoon Kim, Hyun Jong Yang:
  Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning. 7315-7322
• 
  Deepak Babu Sam, R. Venkatesh Babu:
  Top-Down Feedback for Crowd Counting Convolutional Neural Network. 7323-7330
• 
  Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu:
  Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing. 7331-7338
• 
  Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani:
  DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers. 7339-7346
• 
  Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai:
  Region-Based Quality Estimation Network for Large-Scale Person Re-Identification. 7347-7354
• 
  Lingxiao Song, Man Zhang, Xiang Wu, Ran He:
  Adversarial Discriminative Heterogeneous Face Recognition. 7355-7362
• 
  Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
  Learning Binary Residual Representations for Domain-Specific Video Streaming. 7363-7370
• 
  Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, Dhruv Batra:
  Diverse Beam Search for Improved Description of Complex Scenes. 7371-7379
• 
  Bo Wang, Youjiang Xu, Yahong Han, Richang Hong:
  Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents. 7380-7387
• 
  Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xianling Mao:
  Supervised Deep Hashing for Hierarchical Labeled Data. 7388-7395
• 
  Jing Wang, Jianlong Fu, Jinhui Tang, Zechao Li, Tao Mei:
  Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training. 7396-7403
• 
  Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu:
  Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. 7404-7411
• 
  Yang Wu, Jie Qiu, Jun Takamatsu, Tsukasa Ogasawara:
  Temporal-Enhanced Convolutional Network for Person Re-Identification. 7412-7419
• 
  Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng:
  Transferable Semi-Supervised Semantic Segmentation. 7420-7427
• 
  Cheng Xu, Biao Leng, Cheng Zhang, Xiaochen Zhou:
  Emphasizing 3D Properties in Recurrent Multi-View Aggregation for 3D Shape Retrieval. 7428-7435
• 
  Jian Xu, Cunzhao Shi, Cheng-Zuo Qi, Chunheng Wang, Baihua Xiao:
  Unsupervised Part-Based Weighting Aggregation of Deep Convolutional Features for Image Retrieval. 7436-7443
• 
  Sijie Yan, Yuanjun Xiong, Dahua Lin:
  Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition. 7444-7452
• 
  Baoyao Yang, Andy Jinhua Ma, Pong C. Yuen:
  Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation. 7453-7460
• 
  Fan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li:
  Multi-Scale Bidirectional FCN for Object Skeleton Extraction. 7461-7468
• 
  Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng:
  Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues. 7469-7476
• 
  Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou:
  Exploring Temporal Preservation Networks for Precise Temporal Action Localization. 7477-7484
• 
  Xitong Yang, Zheng Xu, Jiebo Luo:
  Towards Perceptual Image Dehazing by Physics-Based Disentanglement and Adversarial Training. 7485-7492
• 
  Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia:
  Unsupervised Learning of Geometry From Videos With Edge-Aware Depth-Normal Consistency. 7493-7500
• 
  Mang Ye, Xiangyuan Lan, Jiawei Li, Pong C. Yuen:
  Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification. 7501-7508
• 
  Hongkai Yu, Kang Zheng, Jianwu Fang, Hao Guo, Wei Feng, Song Wang:
  Co-Saliency Detection Within a Single Image. 7509-7516
• 
  Lidong Yu, Yucheng Wang, Yuwei Wu, Yunde Jia:
  Deep Stereo Matching With Explicit Cost Aggregation Sub-Architecture. 7517-7524
• 
  Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim:
  A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video. 7525-7533
• 
  Xiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy:
  Mix-and-Match Tuning for Self-Supervised Semantic Segmentation. 7534-7541
• 
  Hua Zhang, Xiaochun Cao, Rui Wang:
  Audio Visual Attribute Discovery for Fine-Grained Object Recognition. 7542-7549
• 
  Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu:
  Kill Two Birds With One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement. 7550-7557
• 
  Mingjin Zhang, Nannan Wang, Yunsong Li, Ruxin Wang, Xinbo Gao:
  Face Sketch Synthesis From Coarse to Fine. 7558-7565
• 
  Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin:
  Accelerated Training for Massive Classification via Dynamic Class Selection. 7566-7573
• 
  Jiaxing Zhao, Bo Ren, Qibin Hou, Ming-Ming Cheng, Paul L. Rosin:
  FLIC: Fast Linear Iterative Clustering With Active Search. 7574-7581
• 
  Kaiyang Zhou, Yu Qiao, Tao Xiang:
  Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward. 7582-7589
• 
  Luowei Zhou, Chenliang Xu, Jason J. Corso:
  Towards Automatic Learning of Procedures From Web Instructional Videos. 7590-7598
• 
  Qin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling:
  Graph Correspondence Transfer for Person Re-Identification. 7599-7606
• 
  Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
  Progressive Cognitive Human Parsing. 7607-7614
• 
  Jing Zhu, Jin Xie, Yi Fang:
  Learning Adversarial 3D Model Generation With 2D Image Enhancer. 7615-7622
• 
  Yaohui Zhu, Shuqiang Jiang:
  Deep Structured Learning for Visual Relationship Detection. 7623-7630
• 
  Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
  HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection. 7631-7638
• 
  Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu:
  3D Box Proposals From a Single Monocular Image of an Indoor Scene. 7639-7647
• 
  Haosheng Zou, Hang Su, Shihong Song, Jun Zhu:
  Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process. 7648-7656

IAAI18 - Deployed

• 
  Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners:
  Secure and Automated Enterprise Revenue Forecasting. 7657-7664
• 
  Kenneth D. Forbus, Bridget Garnier, Basil Tikoff, Wayne Marko, Madeline Usher, Matthew D. McLure:
  Sketch Worksheets in STEM Classrooms: Two Deployments. 7665-7672
• 
  Richard Hoshino, Aaron Slobodin, William Bernoudy:
  An Automated Employee Timetabling System for Small Businesses. 7673-7679
• 
  John F. Kolen, Mohsen Sardari, Marwan Mattar, Nick Peterson, Meng Wu:
  Horizontal Scaling With a Framework for Providing AI Solutions Within a Game Company. 7680-7687
• 
  Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan:
  Hi, How Can I Help You?: Automating Enterprise IT Support Help Desks. 7688-7695
• 
  Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ryan Rapp, Sam Nazari, Patrick McGrath, Cory Schoolland, Elyas Achkar, Myles Brundage, Jeremy Miller, Jonathan Epstein, Gurmeet Lamba:
  Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization. 7696-7703
• 
  Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang:
  SmartHS: An AI Platform for Improving Government Service Provision. 7704-7712

IAAI18 - Emerging

• 
  David Abel, Edward C. Williams, Stephen Brawner, Emily Reif, Michael L. Littman:
  Bandit-Based Solar Panel Control. 7713-7718
• 
  Muhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, Ankur Teredesai:
  Death vs. Data Science: Predicting End of Life. 7719-7726
• 
  Mohamoud Ali, Yugyung Lee:
  CRM Sales Prediction Using Continuous Time-Evolving Classification. 7727-7734
• 
  Oliver Bent, Sekou L. Remy, Stephen Roberts, Aisha Walcott-Bryant:
  Novel Exploration Techniques (NETs) for Malaria Policy Interventions. 7735-7740
• 
  Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia:
  SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. 7741-7746
• 
  Vincent Fortuin, Romann M. Weber, Sasha Schriber, Diana Wotruba, Markus H. Gross:
  InspireMe: Learning Sequence Models for Stories. 7747-7752
• 
  Jonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush R. Varshney:
  Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search. 7753-7758
• 
  Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens:
  Classification of Malware by Using Structural Entropy on Convolutional Neural Networks. 7759-7764
• 
  Richard Hoshino, Jeneva Beairsto:
  Optimal Pricing for Distance-Based Transit Fares. 7765-7770
• 
  Carlo Ieva, Arnaud Gotlieb, Souhila Kaci, Nadjib Lazaar:
  Discovering Program Topoi Through Clustering. 7771-7778
• 
  Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Trong Nghia Truong, Firmansyah Bin Abd Rahman:
  Upping the Game of Taxi Driving in the Age of Uber. 7779-7785
• 
  Motoyuki Oki, Koh Takeuchi, Yukio Uematsu:
  Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets. 7786-7792
• 
  Shailesh M. Pandey, Tushar Agarwal, Narayanan C. Krishnan:
  Multi-Task Deep Learning for Predicting Poverty From Satellite Images. 7793-7798
• 
  Luigi Portinale, Monica Locatelli:
  Investigating the Role of Ensemble Learning in High-Value Wine Identification. 7799-7804
• 
  Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal:
  Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy. 7805-7810
• 
  Rushit Sanghrajka, Wojciech Witon, Sasha Schriber, Markus H. Gross, Mubbasir Kapadia:
  Computer-Assisted Authoring for Natural Language Story Scripts. 7811-7818
• 
  Setu Shah, Mahmood Hosseini, Zina Ben Miled, Rebecca Shafer, Steve Berube:
  A Water Demand Prediction Model for Central Indiana. 7819-7824
• 
  Xin Shuai, Xiaomo Liu, Armineh Nourbakhsh, Sameena Shah, Tonya Custis:
  TipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media. 7825-7830
• 
  Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé:
  Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. 7831-7836
• 
  Leen-Kiat Soh, Elizabeth Lorang, Yi Liu:
  Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers. 7837-7842
• 
  Susheel Suresh, Guru Rajan T. S, Vipin Gopinath:
  VoC-DL: Revisiting Voice Of Customer Using Deep Learning. 7843-7848
• 
  Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman:
  DarkEmbed: Exploit Prediction With Neural Language Models. 7849-7854
• 
  Sergiy Turchyn, Inés Olza Moreno, Cristóbal Pagán Cánovas, Francis F. Steen, Mark Turner, Javier Valenzuela, Soumya Ray:
  Gesture Annotation With a Visual Search Engine for Multimodal Communication Research. 7855-7860
• 
  Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, Nina L. Lanza:
  Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature. 7861-7866
• 
  Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams:
  Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas. 7867-7872
• 
  Tom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor:
  Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce. 7873-7881

IAAI18 - Challenge

• 
  Masoumeh Izadi, Simranjeet Narula:
  Batting Order Setup in One Day International Cricket. 7882-7883
• 
  Fusun Yaman, Aaron Adler, Jacob Beal:
  AI Challenges in Synthetic Biology Engineering. 7884-7886

EAAI18 - Full Papers

• 
  Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima:
  Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. 7887-7892
• 
  Roghayeh Barmaki, Charles E. Hughes:
  Gesturing and Embodiment in Teaching: Investigating the Nonverbal ‎Behavior of Teachers in a Virtual Rehearsal Environment ‎. 7893-7899
• 
  Heidi Furey, Fred Martin:
  Introducing Ethical Thinking About Autonomous Vehicles Into an AI Course. 7900-7905
• 
  Josh Gardner, Christopher Brooks:
  Dropout Model Evaluation in MOOCs. 7906-7912
• 
  Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles:
  Investigating Active Learning for Concept Prerequisite Learning. 7913-7919
• 
  Yuetian Luo, Zachary A. Pardos:
  Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space. 7920-7927
• 
  Blessing Mbipom, Stewart Massie, Susan Craw:
  An E-Learning Recommender That Helps Learners Find the Right Materials. 7928-7933
• 
  Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo:
  Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests. 7934-7940
• 
  Benedict Wright, Oliver Brunner, Bernhard Nebel:
  On the Importance of a Research Data Archive. 7941-7947

EAAI18 - Poster Papers

• 
  Pamela K. Fink:
  Addressing the Technical, Philosophical, and Ethical Issues of Artificial Intelligence Through Active Learning Class Assignments. 7948-7949
• 
  Alessandro Giusti, David Huber, Luca Maria Gambardella:
  Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures. 7950-7951
• 
  Jérôme Guzzi, Alessandro Giusti, Gianni A. Di Caro, Luca Maria Gambardella:
  Mighty Thymio for University-Level Educational Robotics. 7952-7953
• 
  Martin Kandlhofer, Gerald Steinbauer:
  A Driving License for Intelligent Systems. 7954-7955
• 
  Kaiman Zeng, Yancheng Li, Yida Xu, Di Wu, Nansong Wu:
  Introducing AI to Undergraduate Students via Computer Vision Projects. 7956-7958

EAAI18 - Model AI Assignments

• 
  Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth:
  Model AI Assignments 2018. 7959-7961

Senior Track

• 
  Shai Ben-David:
  Clustering - What Both Theoreticians and Practitioners Are Doing Wrong. 7962-7964
• 
  Luc De Raedt, Andrea Passerini, Stefano Teso:
  Learning Constraints From Examples. 7965-7970
• 
  Lane A. Hemaspaandra:
  Computational Social Choice and Computational Complexity: BFFs? 7971-7977
• 
  Akihiro Kishimoto, Beat Buesser, Adi Botea:
  AI Meets Chemistry. 7978-7982
• 
  John E. Laird, Shiwali Mohan:
  Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents. 7983-7987
• 
  Sridhar Mahadevan:
  Imagination Machines: A New Challenge for Artificial Intelligence. 7988-7993
• 
  Ana Paiva, Fernando P. Santos, Francisco C. Santos:
  Engineering Pro-Sociality With Autonomous Agents. 7994-7999
• 
  Nathan R. Sturtevant, Ariel Felner:
  A Brief History and Recent Achievements in Bidirectional Search. 8000-8007

Doctoral Consortium

• 
  Abhishek Abhishek:
  FgER: Fine-Grained Entity Recognition. 8008-8009
• 
  Filjor Broka:
  Abstraction Sampling in Graphical Models. 8010-8011
• 
  Shahrzad Gholami:
  Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test in Uganda. 8012-8013
• 
  Leilani H. Gilpin:
  Reasonableness Monitors. 8014-8015
• 
  David Hemmi:
  Decomposition-Based Solving Approaches for Stochastic Constraint Optimisation. 8016-8017
• 
  Junkyu Lee:
  Probabilistic Planning With Influence Diagrams. 8018-8019
• 
  Francesco Leofante:
  Guaranteed Plans for Multi-Robot Systems via Optimization Modulo Theories. 8020-8021
• 
  Elad Liebman:
  Sequential Decision Making in Artificial Musical Intelligence. 8022-8023
• 
  Sara Marie McCarthy:
  Adaptive and Dynamic Team Formation for Strategic and Tactical Planning. 8024-8025
• 
  Kamran Najeebullah:
  Complexity of Optimally Defending and Attacking a Network. 8026-8027
• 
  David E. Narváez:
  Constraint Satisfaction Techniques for Combinatorial Problems. 8028-8029
• 
  Natalie Parde:
  Reading With Robots: Towards a Human-Robot Book Discussion System for Elderly Adults. 8030-8031
• 
  Matús Pikuliak:
  Cross-Lingual Learning With Distributed Representations. 8032-8033
• 
  Aaron Schlenker:
  Game-Theoretic Threat Screening and Deceptive Techniques for Cyber Defense. 8034-8035
• 
  João Sedoc:
  Hierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational Models. 8036-8037
• 
  Zachary N. Sunberg:
  Efficiency and Safety in Autonomous Vehicles Through Planning With Uncertainty. 8038-8039
• 
  Ashwini Tonge:
  Identifying Private Content for Online Image Sharing. 8040-8041
• 
  Mark Valovage:
  Enhancing Machine Learning Classification for Electrical Time Series Applications. 8042-8043
• 
  Zhiwei Zeng, Chunyan Miao, Cyril Leung, Jing Jih Chin:
  Building More Explainable Artificial Intelligence With Argumentation. 8044-8046

Student Abstracts

• 
  Adam Amos-Binks, R. Michael Young:
  Plan-Based Intention Revision. 8047-8048
• 
  Biswarup Bhattacharya, Arna Ghosh, Somnath Basu Roy Chowdhury:
  Training Autoencoders in Sparse Domain. 8049-8050
• 
  Denis Broggini, Boris Gromov, Alessandro Giusti, Luca Maria Gambardella:
  Learning to Detect Pointing Gestures From Wearable IMUs. 8051-8052
• 
  Florin Adrian Bulgarov, Rodney Nielsen:
  Proposition Entailment in Educational Applications Using Deep Neural Networks. 5045-5052
• 
  Diego Calderon, Brendan Juba, Zongyi Li, Lisa Ruan:
  Conditional Linear Regression. 8055-8056
• 
  Jiajiong Cao, Yingming Li, Xi Li, Zhongfei Zhang:
  FR-ANet: A Face Recognition Guided Facial Attribute Classification Network. 8057-8058
• 
  Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu:
  A Stratified Feature Ranking Method for Supervised Feature Selection. 8059-8060
• 
  Yawen Chen, Zeyi Wen, Jian Chen, Jin Huang:
  Selecting Proper Multi-Class SVM Training Methods. 8061-8062
• 
  Yipeng Chen, Hongyan Li, Qiang Qu:
  Negative-Aware Influence Maximization on Social Networks. 8063-8064
• 
  Bowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
  Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training. 8065-8066
• 
  Merav Chkroun, Amos Azaria:
  "Did I Say Something Wrong?": Towards a Safe Collaborative Chatbot. 8067-8068
• 
  Md. Solimul Chowdhury, Martin Müller, Jia-Huai You:
  Preliminary Results on Exploration-Driven Satisfiability Solving. 8069-8070
• 
  Xinyu Duan, Sheng-yu Zhang, Zhou Zhao, Fei Wu, Yueting Zhuang:
  Multi-Label Community-Based Question Classification via Personalized Sequence Memory Network Learning. 8071-8072
• 
  Ishan Durugkar, Peter Stone:
  Adversarial Goal Generation for Intrinsic Motivation. 8073-8074
• 
  Wenqi Fan, Qing Li, Min Cheng:
  Deep Modeling of Social Relations for Recommendation. 8075-8076
• 
  Corina Florescu, Wei Jin:
  Learning Feature Representations for Keyphrase Extraction. 8077-8078
• 
  Colin Garvey:
  A Framework for Evaluating Barriers to the Democratization of Artificial Intelligence. 8079-8080
• 
  Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury:
  AdGAP: Advanced Global Average Pooling. 8081-8082
• 
  Yang He, Jingling Yuan, Lin Li:
  Enhancing RNN Based OCR by Transductive Transfer Learning From Text to Images. 8083-8084
• 
  Ellis Hoag, Janardhan Rao Doppa:
  Bayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity Optimization. 8085-8086
• 
  Chengqiang Huang, Yulei Wu, Yuan Zuo, Ke Pei, Geyong Min:
  Towards Experienced Anomaly Detector Through Reinforcement Learning. 8087-8088
• 
  Yaowei Huang, Jinghuan Shang, Bill Y. Lin, Luoyi Fu, Xinbing Wang:
  Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks. 8089-8090
• 
  Yibo Jiang, Zhou Zhao:
  StackReader: An RNN-Free Reading Comprehension Model. 8091-8092
• 
  Vasu Jindal:
  Generating Image Captions in Arabic Using Root-Word Based Recurrent Neural Networks and Deep Neural Networks. 8093-8094
• 
  Shumin Jing, Sheng Li:
  Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests. 8095-8096
• 
  Brendan Juba, Zongyi Li, Evan Miller:
  Learning Abduction Under Partial Observability. 8097-8098
• 
  Hamed Khanpour, Cornelia Caragea, Prakhar Biyani:
  Identifying Emotional Support in Online Health Communities. 8099-8100
• 
  Kenichi Koizumi, Kei Hiraki, Mary Inaba:
  Skyline Computation for Low-Latency Image-Activated Cell Identification. 8101-8102
• 
  Upendra Kumar, Vishal Singh, Chris Andrew Gadde, Santhoshini Reddy, Amitava Das:
  Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages. 8103-8104
• 
  Zeyang Lei, Yujiu Yang, Min Yang:
  Sentiment Lexicon Enhanced Attention-Based LSTM for Sentiment Classification. 8105-8106
• 
  Ruizhi Li, Shaowei Cai, Shuli Hu, Minghao Yin, Jian Gao:
  NuMWVC: A Novel Local Search for Minimum Weighted Vertex Cover Problem. 8107-8108
• 
  Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
  Generative Adversarial Network for Abstractive Text Summarization. 8109-8110
• 
  Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng:
  A Novel Embedding Method for News Diffusion Prediction. 8111-8112
• 
  Andrei Lupu, Doina Precup:
  Imitation Upper Confidence Bound for Bandits on a Graph. 8113-8114
• 
  Rishi Madhok, Shashank Mujumdar, Nitin Gupta, Sameep Mehta:
  Semantic Understanding for Contextual In-Video Advertising. 8115-8116
• 
  Andrea Martin, Kristen Brent Venable:
  Decision Making Over Combinatorially-Structured Domains. 8117-8118
• 
  Duncan C. McElfresh, John P. Dickerson:
  Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. 8119-8120
• 
  Zhao Meng, Lili Mou, Zhi Jin:
  Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. 8121-8122
• 
  David E. Narváez:
  Exploring the Use of Shatter for AllSAT Through Ramsey-Type Problems. 8123-8124
• 
  Kaneharu Nishino, Mary Inaba:
  Constructing Hierarchical Bayesian Networks With Pooling. 8125-8126
• 
  Ramon Fraga Pereira, Felipe Meneguzzi:
  Goal Recognition in Incomplete Domain Models. 8127-8128
• 
  Son Pham, Keyi Zhang, Tung Phan, Jasper Ding, Christopher L. Dancy:
  Playing SNES Games With NeuroEvolution of Augmenting Topologies. 8129-8130
• 
  Chanin Pithyaachariyakul, Anagha Kulkarni:
  Automated Question Answering System for Community-Based Questions. 8131-8132
• 
  Valentina Pitoni:
  Memory Management With Explicit Time in Resource-Bounded Agents. 8133-8134
• 
  Rey Pocius, David Isele, Mark Roberts, David W. Aha:
  Comparing Reward Shaping, Visual Hints, and Curriculum Learning. 8135-8136
• 
  Ameya Prabhu, Harish Krishna, Soham Saha:
  Adversary Is the Best Teacher: Towards Extremely Compact Neural Networks. 8137-8138
• 
  Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
  Influence Maximization for Social Network Based Substance Abuse Prevention. 8139-8140
• 
  Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal:
  Rating Super-Resolution Microscopy Images With Deep Learning. 8141-8142
• 
  Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh:
  Personalized Human Activity Recognition Using Convolutional Neural Networks. 8143-8144
• 
  Mohammad Rostami, Eric Eaton:
  Lifelong Learning Networks: Beyond Single Agent Lifelong Learning. 8145-8146
• 
  Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang:
  Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. 8147-8148
• 
  Fernando P. Santos, Jorge M. Pacheco, Francisco C. Santos:
  Indirect Reciprocity and Costly Assessment in Multiagent Systems. 8149-8150
• 
  Mayank Saxena, Rohith Krishnan Pillai, Jack Mostow:
  Relating Children's Automatically Detected Facial Expressions to Their Behavior in RoboTutor. 8151-8152
• 
  Swair Shah, Baokun He, Ke Xu, Crystal Maung, Haim Schweitzer:
  Solving Generalized Column Subset Selection With Heuristic Search. 8153-8154
• 
  Xiaoyu Shen, Hui Su:
  Towards Better Variational Encoder-Decoders in Seq2Seq Tasks. 8155-8156
• 
  Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen:
  Efficient Support Vector Machine Training Algorithm on GPUs. 8157-8158
• 
  Sirawit Sopchoke, Ken-ichi Fukui, Masayuki Numao:
  Explainable Cross-Domain Recommendations Through Relational Learning. 8159-8160
• 
  Helge Spieker, Arnaud Gotlieb, Morten Mossige:
  Different Cycle, Different Assignment: Diversity in Assignment Problems With Multiple Cycles. 8161-8162
• 
  Hui Su, Xiaoyu Shen, Pengwei Hu, Wenjie Li, Yun Chen:
  Dialogue Generation With GAN. 8163-8164
• 
  Sanatan Sukhija:
  Label Space Driven Heterogeneous Transfer Learning With Web Induced Alignment. 8165-8166
• 
  Ashwini Tonge, Cornelia Caragea, Anna Cinzia Squicciarini:
  Uncovering Scene Context for Predicting Privacy of Online Shared Images. 8167-8168
• 
  Dingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong:
  A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction. 8169-8170
• 
  Tianshu Wang, Yuexian Hou, Panpan Wang, Xiaolei Niu:
  Exploring Relevance Judgement Inspired by Quantum Weak Measurement. 8171-8172
• 
  Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
  Deep Embedding for Determining the Number of Clusters. 8173-8174
• 
  Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
  Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. 8175-8176
• 
  Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing:
  Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement. 8177-8178
• 
  Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang:
  Path-Based Attention Neural Model for Fine-Grained Entity Typing. 8179-8180
• 
  Luxin Zhang, Ruohan Zhang, Zhuode Liu, Mary M. Hayhoe, Dana H. Ballard:
  Learning Attention Model From Human for Visuomotor Tasks. 8181-8182
• 
  Yikun Zhang, Jiming Liu, Yang Liu:
  Bayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm. 8183-8184
• 
  Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen:
  A Semi-Supervised Network Embedding Model for Protein Complexes Detection. 8185-8186
• 
  Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin:
  Variance Reduced K-Means Clustering. 8187-8188
• 
  Aakas Zhiyuli, Xun Liang, YanFang Chen, Peng Shu, Xiaoping Zhou:
  Joint Learning of Evolving Links for Dynamic Network Embedding. 8189-8190
• 
  Zilong Zhong, Jonathan Li:
  Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification. 8191-8193

Demonstrations

• 
  Dustin Arendt, Emily Grace, Svitlana Volkova:
  Interactive Machine Learning at Scale With CHISSL. 8194-8195
• 
  Yaohua Bu, Jia Jia, Yuhan Tang, Xuan Zang, Tianyu Gao:
  Lookine: Let the Blind Hear a Smile. 8196-8197
• 
  Jason B. Ellis, Biplav Srivastava, Rachel K. E. Bellamy, Andy Aaron:
  Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage Decisions. 8198-8199
• 
  Song Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis, Lazaros C. Polymenakos:
  A Unified Implicit Dialog Framework for Conversational Commerce. 8200-8201
• 
  Jianglei Han, Mohammad Akbari:
  Vertical Domain Text Classification: Towards Understanding IT Tickets Using Deep Neural Networks. 8202-8203
• 
  Mayank Kejriwal, Pedro Szekely:
  Constructing Domain-Specific Search Engines With No Programming. 8204-8205
• 
  Jeffrey O. Kephart, Victor C. Dibia, Jason B. Ellis, Biplav Srivastava, Kartik Talamadupula, Mishal Dholakia:
  A Cognitive Assistant for Visualizing and Analyzing Exoplanets. 8206-8207
• 
  Beom-Jin Lee, Jinyoung Choi, Chung-yeon Lee, Kyung-Wha Park, Sungjun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Mokodir Emaase, Byoung-Tak Zhang:
  Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning. 8208-8209
• 
  Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan:
  Agent Assist: Automating Enterprise IT Support Help Desks. 8210-8211
• 
  Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga:
  Dataset Evolver: An Interactive Feature Engineering Notebook. 8212-8213
• 
  Ha-Myung Park, Chiwan Park, U. Kang:
  PegasusN: A Scalable and Versatile Graph Mining System. 8214-8215
• 
  Md Main Uddin Rony, Naeemul Hassan, Mohammad Yousuf:
  BaitBuster: A Clickbait Identification Framework. 8216-8217
• 
  Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani, Akshay Sethi, Rahul Aralikatte, Neelamadhav Gantayat:
  Democratization of Deep Learning Using DARVIZ. 8218-8219
• 
  Stefano Toniolo, Jérôme Guzzi, Luca Maria Gambardella, Alessandro Giusti:
  Learning an Image-based Obstacle Detector With Automatic Acquisition of Training Data. 8220-8221
• 
  Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu:
  MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. 8222-8223